Best Value Stream Management Software

How Many Value Stream Management Software Products Does G2 Track?

Total Products under this Category: 39

Category Stats (Oct 2026)

  • Average Rating: 4.47/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cortex (+4.12%) - Among all products in this category, Cortex recorded the largest rating increase compared to last month

Last updated: October 01, 2026

How Does G2 Rank Value Stream Management Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 4,000+ Authentic Reviews
  • 39+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Value Stream Management Software

G2 Grid® for Value Stream Management Software plotting products by satisfaction and market presence

Highlighted products: DX, Jellyfish, Swarmia, GitLab, ServiceNow DevOps, Typo, Plandek, and LinearB.

Underlying data: [Grid® JSON](https://www.g2.com/categories/value-stream-management/grids.json?focus%5B%5D=dx-platform&focus%5B%5D=jellyfish-2025-10-22&focus%5B%5D=swarmia&focus%5B%5D=gitlab&focus%5B%5D=servicenow-devops&focus%5B%5D=typo&focus%5B%5D=plandek&focus%5B%5D=linearb)

DX

DX is the developer intelligence platform designed by leading researchers to help engineering organizations measure productivity and navigate the shift to AI-augmented engineering. The platform provides research-backed measurement by unifying quantitative data from SDLC tools with qualitative, developer-reported friction to offer a complete view of engineering performance. By serving hundreds of the world’s most iconic companies, including Dropbox, Pfizer, and Uber, DX provides the data and insights leaders need to lead with confidence in the AI era. Measuring productivity has long been an elusive challenge, but DX anchors insights in validated signals through the DX Core 4—measuring speed, effectiveness, quality, and impact—and the Developer Experience Index (DXI). These frameworks allow organizations to see how developers work and where they get stuck to reduce friction and boost satisfaction. By using tools like Workflow Analysis, Experience Sampling, and DevSat, DX captures the conditions developers need to deliver effectively, moving beyond "culture fluff" to connect developer friction directly to business impact. The platform offers extensive Engineering Productivity capabilities, including SDLC Analytics, TrueThroughput™, and Engineering Allocation to align engineering with business goals. Leaders can use Team Dashboards and Custom Reporting to find bottlenecks, while R&D Capitalization and Sprint Analytics provide precise evaluation of organizational performance. To understand how a company compares to the broader market, Industry Benchmarking allows for a precise evaluation of performance against specific peer companies and industry segments. To manage the transition to generative AI, DX provides a specialized AI Measurement framework. This allows leaders to track GenAI adoption and impact to guide smarter decisions at scale. Organizations use these insights for Strategic Planning, Vendor Evaluation, and AI Workflow Optimization, ensuring that AI investments result in tangible improvements to engineering velocity. Additionally, AI Enablement tools—including the Systems Catalog, Context Management, and the Internal Developer Portal—help unify context from across the SDLC to power an AI-native future. This suite also includes AI Readiness assessments, Agent Ops Tools, and Scorecards to ensure developer self-service is optimized for high output. DX AI serves as an AI Copilot for engineering leaders, acting as an analytical layer over the organization's data. Instead of static dashboards, DX AI continuously delivers insights and flags risks automatically. It helps leaders answer complex questions about their data, creates custom reports from simple prompts, and provides specific AI Recommendations on where leaders should focus next. Every insight in DX is designed to be actionable, leading toward a clearer question or a concrete next step. Through Executive Reporting and Targeted Studies, the platform provides CXOs and managers with the evidence needed to decide more effectively. By identifying measurement gaps and revealing what the data or developer voice shows, DX helps organizations optimize their engineering performance in an increasingly complex technical landscape.

Average Rating: 4.6/5.0

Total Reviews: 351

How Do G2 Users Rate DX?

  • Ease of Admin: 8.8/10 (Category avg: 8.7/10)
  • Control: 7.9/10 (Category avg: 8.6/10)
  • Report Generation: 8.5/10 (Category avg: 8.5/10)
  • Impact Predictions: 7.0/10 (Category avg: 8.5/10)

Who Is the Company Behind DX?

  • Seller: DX
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Salt Lake City, Utah, United States
  • Twitter: @DeveloperXM
    728 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    550 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Engineering Manager, Director of Engineering
  • Top Industries: Computer Software, Financial Services
  • Company Size: 68% Medium, 27% Large

What Do G2 Reviewers Say About DX?

AI-generated summary from verified user reviews

Pros
  • Users value the actionable insights provided by DX, aiding in performance analysis and informed decision-making across teams.
  • Users value the robust metrics analysis in DX, benefiting from ease of use and excellent integration options.
  • Users value the excellent team collaboration in DX, benefiting from strong support and expert guidance throughout the process.
  • Users highlight DX's flexibility and ease of integration, along with its powerful survey tools for insightful feedback.
  • Users highlight the increase in productivity that DX fosters through insights and dedicated support for efficiency initiatives.
Cons
  • Users are concerned about metrics issues with DX, citing potential misunderstandings and outdated information affecting decision-making.
  • Users report limited features in DX, which can hinder tailored customization and deeper insights for diverse teams.
  • Users report significant integration issues in DX, leading to fragmented experiences and incomplete feature setups.
  • Users find team management complex with DX, needing more guidance and support for effective implementation and adoption.
  • Users find the complex configuration of DX challenging, particularly for custom integrations and onboarding new teams.

What Are Recent G2 Reviews of DX?

Jellyfish

Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance. Learn more at jellyfish.co.

Average Rating: 4.5/5.0

Total Reviews: 429

How Do G2 Users Rate Jellyfish?

  • Ease of Admin: 8.3/10 (Category avg: 8.7/10)
  • Control: 8.4/10 (Category avg: 8.6/10)
  • Report Generation: 8.2/10 (Category avg: 8.5/10)
  • Impact Predictions: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Jellyfish?

  • Seller: Jellyfish
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Boston, Massachusetts
  • Twitter: @_jellyfish_co
    447 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    275 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Engineering Manager, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 66% Medium, 26% Large

What Do G2 Reviewers Say About Jellyfish?

AI-generated summary from verified user reviews

Pros
  • Users find the fantastic metrics in Jellyfish invaluable for tracking time and enhancing team efficiency.
  • Users value the enhanced team collaboration offered by Jellyfish, providing visibility and facilitating effective communication within engineering teams.
  • Users value the robust metrics analysis in Jellyfish, facilitating effective tracking and optimization of team performance.
  • Users value Jellyfish for its valuable insights and intuitive UI, enhancing visibility and performance tracking in engineering teams.
  • Users find Jellyfish to be extremely easy to use, appreciating its intuitive interface and effortless tracking features.
Cons
  • Users note that metrics issues hinder effectiveness, calling for more flexible dashboards and improved data accuracy.
  • Users find the complex configuration of Jellyfish can be time-consuming and requires significant investment to set up properly.
  • Users face a steep learning curve with Jellyfish's data management and experience challenges in connecting and validating data.
  • Users find the lack of customization in Jellyfish a challenge, limiting flexibility in processes and reporting.
  • Users find the limited features of Jellyfish hinder their ability to fully leverage existing processes and metrics.

What Are Recent G2 Reviews of Jellyfish?

Swarmia

Swarmia is the software engineering intelligence platform that gives product and engineering leaders one place to see how their teams work, how they feel, and where the investment goes — and the tools to act on what they find. The platform is trusted by industry-leading companies of all sizes, including Lovable, Honeycomb, Engine, Bolt, and Miro. You’d never run production without monitoring. But for years, plenty of organizations ran engineering on gut feel and a few good-enough dashboards. That worked when you could keep the whole picture in your head. When AI tools are writing code faster than anyone can track by intuition, it doesn’t anymore. Swarmia brings four things together on one org structure and one data model: engineering metrics, AI adoption and impact, developer experience surveys, and software capitalization. One source of truth instead of a productivity tool, a survey tool, and a capitalization spreadsheet that never talk to each other. Most teams have rolled out Copilot, Cursor, Codex, and Claude Code, but far fewer can say what they’re getting for it. Swarmia brings every AI tool into one view — who has access, who’s using it and how, and what it costs — so you can spot unused licenses, find the teams getting real value, and connect AI spend to the work it supported. Adoption is only half the story, though. Swarmia also measures how effectively your teams turn ideas into working software with research-backed metrics, including DORA. Working agreements, automated signals, and Slack and Teams notifications turn metrics into real behavior change — not dashboards nobody checks. From there, Swarmia keeps a clear line from effort to value. You can see where engineering time is actually going, and whether your biggest projects are on track early enough to do something about it. It also makes software capitalization a few clicks instead of a quarterly fire drill, with audit-ready reports in minutes and an FTE model defensible enough for Big Four auditors. And because numbers don't tell you what it's like to work in your organization, developer experience surveys ask the questions only engineers can answer, then hand back a heatmap by team and a prioritized action plan. We believe engineering improvement happens when you fix the system people work in, not when you measure individuals harder. Most tools in this space are built top-down, for leadership reporting. Swarmia’s roots are in helping teams get better, so it's built for the people doing the work as much as the people reporting on it. Because it's transparent by design — most of the data is visible to everyone, from ICs to the CTO — engineers see it as a tool to improve their own work, not a way to be watched. The result is cross-domain insights no single-purpose tool can offer, on one platform with one setup. Your gut feeling had a good run. Swarmia is engineering intelligence you can trust.

Average Rating: 4.4/5.0

Total Reviews: 315

How Do G2 Users Rate Swarmia?

  • Ease of Admin: 8.8/10 (Category avg: 8.7/10)
  • Control: 7.6/10 (Category avg: 8.6/10)
  • Report Generation: 7.5/10 (Category avg: 8.5/10)
  • Impact Predictions: 6.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Swarmia?

  • Seller: Swarmia
  • Company Website:
  • Year Founded: 2019
  • HQ Location: New York, NY
  • Twitter: @SwarmiaHQ
    271 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    61 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, CTO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Small, 41% Medium

What Do G2 Reviewers Say About Swarmia?

AI-generated summary from verified user reviews

Pros
  • Users value the rich metrics and integrations Swarmia offers, enhancing productivity and team collaboration seamlessly.
  • Users value the metrics analysis in Swarmia, enabling effective team performance tracking and insightful dashboards.
  • Users praise the ease of use of Swarmia, finding it intuitive for tracking progress and onboarding quickly.
  • Users praise Swarmia's easy setup, allowing seamless integration with GitHub and Jira for quick performance insights.
  • Users value Swarmia for its ability to provide comprehensive insights into team collaboration and performance metrics.
Cons
  • Users find metrics issues in Swarmia, highlighting the need for better separation and customization of performance metrics.
  • Users find the lack of customization in Swarmia limits their ability to set specific team targets effectively.
  • Users note the limited features of Swarmia, particularly around integrations and documentation, impacting usability and flexibility.
  • Users face integration issues with Swarmia, complicating workflows and limiting the system's overall adaptability.
  • Users highlight missing features in Swarmia, seeking better metric separation, enhanced notifications, and improved integrations.

What Are Recent G2 Reviews of Swarmia?

What Are G2 Users Discussing About Swarmia?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works

GitLab

GitLab is the most comprehensive AI-Powered DevSecOps platform that enables software innovation by empowering development, security, and operations teams to build better software, faster. With GitLab, teams can create, deliver, and manage code quickly and continuously instead of managing disparate tools and scripts. GitLab helps your teams across the complete DevSecOps lifecycle, from developing, securing, and deploying software. What makes us truly different? - Flexibility: Consume as a service or manage your own deployment - Cloud-Agnostic: Deploy anywhere with no vendor lock-in - No rip and replace: Scale to a platform approach at your own pace

Average Rating: 4.5/5.0

Total Reviews: 884

How Do G2 Users Rate GitLab?

  • Ease of Admin: 8.6/10 (Category avg: 8.7/10)
  • Control: 8.9/10 (Category avg: 8.6/10)
  • Report Generation: 8.9/10 (Category avg: 8.5/10)
  • Impact Predictions: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind GitLab?

  • Seller: GitLab Inc.
  • Year Founded: 2014
  • HQ Location: San Francisco, California
  • Twitter: @gitlab
    171,534 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,431 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 37% Medium, 37% Small

What Do G2 Reviewers Say About GitLab?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in GitLab, enjoying its all-in-one DevOps capabilities and intuitive interface.
  • Users value the all-encompassing features of GitLab, which enhance collaboration and streamline the DevOps workflow.
  • Users love the seamless CI/CD integration of GitLab, simplifying automation and collaboration in DevOps workflows.
  • Users value the seamless integrations in GitLab, resulting in efficient workflows and streamlined management across multiple functions.
  • Users praise the seamless CI/CD integration in GitLab, enhancing automation and collaboration within their DevOps workflow.
Cons
  • Users find the complexity of GitLab's setup and management to be a significant barrier to efficient use.
  • Users find the difficult learning curve of GitLab challenging due to its complex interface and YAML syntax.
  • Users find the interface confusing due to clutter and slow performance with large repositories, complicating their navigation.
  • Users find the complex user interface challenging, especially with slow performance and difficulties in navigation and management.
  • Users find the learning curve steep, particularly for those new to DevOps and managing extensive features.

What Are Recent G2 Reviews of GitLab?

What Are G2 Users Discussing About GitLab?

ServiceNow DevOps

ServiceNow DevOps is a comprehensive solution designed to bridge the gap between development and operations teams, enhancing collaboration and automating processes to accelerate software delivery. By integrating seamlessly with existing DevOps toolchains, it provides real-time visibility into each stage of the development lifecycle, from planning and coding to deployment. This integration enables organizations to streamline workflows, reduce manual tasks, and ensure compliance without compromising speed or quality. Key Features and Functionality: - Automated Change Management: Automatically creates and manages change requests within the development pipeline, reducing administrative overhead and expediting approvals. - Integration with DevOps Tools: Supports out-of-the-box integrations with popular tools such as Jira, GitHub, Bitbucket, and Jenkins, facilitating a cohesive development environment. - Real-Time Insights: Offers dashboards and analytics that provide visibility into development activities, enabling teams to monitor performance metrics and identify bottlenecks. - Enhanced Collaboration: Fosters better communication between development and operations teams by providing a unified platform for tracking and managing development processes. Primary Value and User Solutions: ServiceNow DevOps addresses the common challenges of siloed teams and fragmented processes by unifying development and operations within a single platform. It automates routine tasks, such as change approvals and ticketing, allowing developers to focus on innovation while maintaining compliance and governance standards. By providing end-to-end visibility and real-time insights, it empowers organizations to deliver high-quality software faster, adapt to market changes swiftly, and achieve continuous improvement in their development practices.

Average Rating: 4.5/5.0

Total Reviews: 34

How Do G2 Users Rate ServiceNow DevOps?

  • Ease of Admin: 9.1/10 (Category avg: 8.7/10)
  • Control: 8.7/10 (Category avg: 8.6/10)
  • Report Generation: 8.3/10 (Category avg: 8.5/10)
  • Impact Predictions: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind ServiceNow DevOps?

  • Seller: ServiceNow
  • Year Founded: 2004
  • HQ Location: Santa Clara, CA
  • Twitter: @servicenow
    55,548 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    35,078 employees on LinkedIn®
  • Ownership: NYSE:NOW

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 60% Large, 29% Medium

What Do G2 Reviewers Say About ServiceNow DevOps?

AI-generated summary from verified user reviews

Pros
  • Users value the automation capabilities of ServiceNow DevOps, significantly reducing manual tasks and enhancing efficiency.
  • Users appreciate the user-friendly interface of ServiceNow DevOps, making integration and management tasks effortless.
  • Users appreciate the easy integrations with tools like Jenkins and GitHub, enhancing their CI/CD workflows effortlessly.
  • Users value the easy integration with various DevOps tools, enhancing their CI/CD pipeline and overall efficiency.
  • Users value the automation efficiency of ServiceNow DevOps, significantly reducing manual tasks and streamlining processes.
Cons
  • Users find the complex setup of ServiceNow DevOps challenging, particularly for small groups and new users.
  • Users find the pricing of ServiceNow DevOps to be expensive for small organizations, complicating initial deployment and usage.
  • Users find the complex configuration challenging, particularly during initial deployment and when accessing advanced features.
  • Users find the complexity of ServiceNow DevOps daunting, particularly during initial deployment and feature customization.
  • Users find the complex user interface of ServiceNow DevOps challenging, particularly for newcomers and small teams.

What Are Recent G2 Reviews of ServiceNow DevOps?

What Are G2 Users Discussing About ServiceNow DevOps?

Typo

Typo is an AI-powered software engineering intelligence platform that gives engineering leaders real-time visibility into what's actually happening across their SDLC — and what to do about it. From a single platform, engineering teams can track DORA metrics and delivery health, measure the real impact of AI coding tools like Cursor, and Claude Code, run AI code reviews on every pull request, monitor R&D investment allocation, and measure developer experience through anonymous surveys. Typo connects to your existing stack — GitHub, GitLab, Bitbucket, Jira, Linear, and CI/CD tools — in 60 seconds. No complex onboarding. Used by 1,000+ engineering teams globally. 15M+ pull requests processed. Featured in Gartner's Market Guide for Software Engineering Intelligence Platforms.

Average Rating: 4.6/5.0

Total Reviews: 150

How Do G2 Users Rate Typo?

  • Ease of Admin: 8.8/10 (Category avg: 8.7/10)
  • Control: 8.5/10 (Category avg: 8.6/10)
  • Report Generation: 8.7/10 (Category avg: 8.5/10)
  • Impact Predictions: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Typo?

  • Seller: Typo
  • Year Founded: 2020
  • HQ Location: Dover, US
  • Twitter: @Typoapp_
    66 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    76 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 47% Medium, 43% Small

What Do G2 Reviewers Say About Typo?

AI-generated summary from verified user reviews

Pros
  • Users value the insightful productivity metrics of Typo, enhancing team performance and streamlining workflows effectively.
  • Users value the easy-to-use metrics analysis in Typo, enabling quick learning and effective team performance tracking.
  • Users appreciate the powerful AI-driven features of Typo for managing productivity and improving code quality effortlessly.
  • Users value the clear, actionable insights from Typo that enhance team performance and improve code quality efficiently.
  • Users value Typo for its highly valid recommendations that enhance code readability and simplify review processes.
Cons
  • Users find the complex configuration process frustrating, especially during onboarding and due to quality issues.
  • Users note the limited features of Typo, particularly in customization and mobile access, impacting usability for diverse teams.
  • Users find it challenging to grasp metrics issues due to unclear thresholds and lack of customizable dashboards.
  • Users express concerns about the lack of customization and mobile app functionality, limiting effectiveness for their unique workflows.
  • Users experience significant performance issues with Typo, including slow scanning and struggles with large pull requests.

What Are Recent G2 Reviews of Typo?

Plandek

Plandek is a leading software development analytics tool (also known as a Developer Productivity Insight (DPI) platform), that enables engineering teams to drive engineering productivity and ROI as they transition to agentic ways of working.   Plandek uses unused data signals from existing DevOps tooling, coupled with qualitative engineer feedback, to provide new intelligence to improve foundational engineering processes and accelerate the cost-effective use of AI tooling. Plandek is a critical AI implementation tool for CTOs and their management teams - at a time when 'tokenmaxxing' is over and CTOs are grappling with the need to realize real productivity and ROI gains, in the face of rocketing token spend (so called 'tokenomics'). Recognizing the magnitude of the transformational change challenge, Plandek is unique in offering market-leading software (the Plandek DPI platform); proven frameworks (like RACER™ and the 4 Pillars of Engineering Productivity) and deep domain expertise to help clients realize rapid business benefit as they rapidly adopt AI tooling. Plandek’s frameworks have been developed in collaboration with clients and research teams over several years. Plandek is particularly active in the private equity space, working with PE value creation teams and PE portfolio companies across the U.S. and EMEA. With offices in the UK and US, Plandek is used by more than 2,500 engineering teams worldwide across the private and public sectors. Plandek holds numerous G2 badges and is recognized as the leading Niche Player in the Gartner Magic Quadrant for Developer Productivity Insight Platforms 2026. And a top global vendor in Gartner’s DevOps VSM Market Guides, 2020, 2022, 2023; SEI Market Guide 2024; and 2025 DPI Guide.

Average Rating: 4.5/5.0

Total Reviews: 74

How Do G2 Users Rate Plandek?

  • Ease of Admin: 8.3/10 (Category avg: 8.7/10)
  • Control: 8.7/10 (Category avg: 8.6/10)
  • Report Generation: 8.2/10 (Category avg: 8.5/10)
  • Impact Predictions: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Plandek?

  • Seller: Plandek
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Southwark, GB
  • Twitter: @_plandek
    7 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    60 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 54% Medium, 30% Large

What Do G2 Reviewers Say About Plandek?

AI-generated summary from verified user reviews

Pros
  • Users benefit from great metrics in Plandek, enhancing Agile delivery predictability and improving team performance through insights.
  • Users value the insightful metrics from Plandek, enhancing visibility and predictability in Agile sprint delivery.
  • Users value the issue identification capabilities of Plandek, enhancing team performance and forecasting accuracy.
  • Users value the customizable dashboards of Plandek, enhancing visibility and tracking of key project metrics effortlessly.
  • Users value the customizable dashboards in Plandek, enhancing their ability to track metrics and improve project performance.
Cons
  • Users struggle with metrics issues in Plandek, leading to inaccurate data due to unwanted work items included.
  • Users find the complex configuration process intimidating, particularly for large organizations with diverse metrics.
  • Users find the lack of customization in Plandek frustrating, making it hard to highlight key trends easily.
  • Users find the complex setup challenging for large organizations, making it less user-friendly compared to other tools.
  • Users find the dashboard setup overwhelming, requiring fine-tuning and a steeper learning curve for effective use.

What Are Recent G2 Reviews of Plandek?

LinearB

LinearB is the pioneer and leader in Software Engineering Intelligence (SEI) platforms for the modern enterprise. Over 3,000 engineering leaders worldwide trust LinearB to boost team productivity, improve developer experience, and predictably deliver mission-critical projects. LinearB’s SEI+ platform enables teams to translate insights from engineering data into powerful workflow automations. The result is scalable, change-resilient engineering operations with full visibility into business impact. To learn more, visit www.linearb.io

Average Rating: 4.6/5.0

Total Reviews: 79

How Do G2 Users Rate LinearB?

  • Ease of Admin: 8.2/10 (Category avg: 8.7/10)
  • Control: 8.5/10 (Category avg: 8.6/10)
  • Report Generation: 7.6/10 (Category avg: 8.5/10)
  • Impact Predictions: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind LinearB?

  • Seller: LinearB
  • Year Founded: 2018
  • HQ Location: Los Angeles , California
  • Twitter: @LinearB_Inc
    798 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    117 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CTO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 60% Medium, 30% Small

What Do G2 Reviewers Say About LinearB?

AI-generated summary from verified user reviews

Pros
  • Users value the exceptional customer support from LinearB, which guarantees smooth implementation and ongoing optimization.
  • Users value the detailed statistics provided by LinearB, enabling deep insights and informed decision-making.
  • Users appreciate the comprehensive SEI platforms of LinearB, providing unmatched insights that drive productivity and innovation.
  • Users highly value the in-depth insights from LinearB, which greatly enhance productivity and drive innovation.
  • Users value the unparalleled insights from LinearB, greatly enhancing productivity and optimizing software engineering processes.
Cons
  • Users experience occasional visual bugs in LinearB, which can disrupt their overall experience despite its effectiveness.
  • Users experience occasional visual issues in LinearB, which can detract from the overall user experience.

What Are Recent G2 Reviews of LinearB?

What Are G2 Users Discussing About LinearB?

CloudBees

The Complete DevOps solution. CloudBees empowers your software delivery teams to transform your business. CloudBees solution brings together development, operations, IT, security, and business teams to: Create fast with scalable repeatable workflows. Continuously improve customer experiences by progressively delivering features with speed and control. Command everything with higher-order visibility, management, and intelligence across tools, teams, pipelines, and process... all at enterprise scale.

Average Rating: 4.4/5.0

Total Reviews: 591

How Do G2 Users Rate CloudBees?

  • Ease of Admin: 8.1/10 (Category avg: 8.7/10)
  • Control: 9.3/10 (Category avg: 8.6/10)
  • Report Generation: 9.4/10 (Category avg: 8.5/10)
  • Impact Predictions: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind CloudBees?

  • Seller: CloudBees
  • Company Website:
  • Year Founded: 2010
  • HQ Location: San Jose, CA
  • Twitter: @CloudBees
    39,175 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    485 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, DevOps Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 48% Large, 41% Medium

What Do G2 Reviewers Say About CloudBees?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the centralized management and robust security of CloudBees, enhancing their CI/CD lifecycle and workflows.
  • Users value the reliability of CloudBees, benefiting from its scalable tools and robust security in CI/CD processes.
  • Users value the customization options of CloudBees, enhancing integration and efficiency across various tools and workflows.
  • Users find CloudBees' ease of use exceptional, enabling seamless integration and efficient workflow management across teams.
  • Users value the seamless integrations of CloudBees with major DevOps tools, enhancing workflow automation and efficiency.
Cons
  • Users struggle with the complex interface of CloudBees, making understanding and configuration quite challenging.
  • Users face complexity in understanding and configuration of CloudBees, requiring significant time and specialized expertise.
  • Users find the complex setup of CloudBees time-consuming and difficult to navigate, requiring specialized expertise.
  • Users find the complex user interface of CloudBees challenging, complicating understanding and configuration processes.
  • Users face configuration issues with CloudBees, finding it complex and time-consuming to manage effectively.

What Are Recent G2 Reviews of CloudBees?

What Are G2 Users Discussing About CloudBees?

Planview Hub

Planview Hub is a no-code software toolchain integration solution that helps IT and software delivery teams connect and synchronize the tools used across the development lifecycle, from requirements and planning through development, testing, and operations. It automates the flow of artifacts, such as stories, defects, requirements, and test cases, between best-of-breed tools, replacing manual data entry and fragmented reporting with continuous, automated synchronization. Hub is used by IT leaders, DevOps and IT tools teams, PMO directors, QA leaders, and delivery team members, including business analysts, developers, testers, and project managers, who need consistent, real-time visibility into work as it moves across tools. Hub is built on model-based integration, in which each artifact type, such as a defect, story, or requirement, is mapped once to a shared model rather than configured individually for every pair of tools. It is available on-premises or as a fully managed cloud service, and is offered in Pro, Enterprise, and Ultimate editions depending on the number of tools and integration styles required. Main capabilities include: • Model-based integration, so new tools and projects connect to a shared model rather than requiring a new point-to-point configuration for every tool pair • More than 60 pre-built connectors covering requirements management, agile planning, test management, ITSM, version control, and CI/CD tools, tested nightly against new tool versions • Enterprise Data Stream (EDS), which streams artifact activity data from connected tools to a centralized, normalized database for BI and analytics tools • Bi-directional synchronization, conditional routing, smart field mapping, and artifact relationship management to keep related work items consistent across tools • Planview Universal Connector for building custom connections to tools outside the pre-built connector library, plus security and admin controls including LDAP/Active Directory integration and fine-grained access controls for external collaboration Hub supports both internal toolchain integration and cross-organization collaboration, including OEM and supplier programs where different organizations need to synchronize work without exposing proprietary data beyond what is explicitly shared.

Average Rating: 4.3/5.0

Total Reviews: 17

How Do G2 Users Rate Planview Hub?

  • Ease of Admin: 7.9/10 (Category avg: 8.7/10)
  • Control: 8.7/10 (Category avg: 8.6/10)
  • Report Generation: 8.0/10 (Category avg: 8.5/10)
  • Impact Predictions: 7.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Planview Hub?

  • Seller: Planview
  • Year Founded: 1989
  • HQ Location: Austin, TX
  • Twitter: @Planview
    3,049 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,834 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 41% Medium, 41% Small

What Do G2 Reviewers Say About Planview Hub?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Planview Hub, streamlining data management and boosting overall efficiency.
  • Users appreciate the management efficiency of Planview Hub, significantly reducing operation time and enhancing productivity.
  • Users appreciate the effective collaboration features of Planview Hub, enhancing communication through file sharing and discussion boards.
  • Users value the friendly and professional customer support of Planview Hub, enhancing their overall user experience.
  • Users appreciate the user-friendly interface of Planview Hub, enhanced by its various functionalities.
Cons
  • Users find the subscription costs of Planview Hub to be high compared to other available tools.
  • Users experience integration issues with certain Mexican management programs, hindering seamless functionality with Planview Hub.
  • Users find the lack of customization limits usability and hampers their ability to create tailored analytics.
  • Users report a learning difficulty with Planview Hub due to its newness, making comprehension challenging for many stakeholders.
  • Users feel that the user interface needs improvement as current offerings do not meet their expectations.

What Are Recent G2 Reviews of Planview Hub?

TargetBoard

# TargetBoard: Agentic Operations Hub for Delivery and Enterprise-Wide AI Impact TargetBoard is an Agentic Operations Hub that helps companies improve delivery operations, accelerate AI adoption, and measure enterprise-wide AI impact. It connects fragmented data across engineering, product, delivery, HR, finance, support, and other company systems to create a reliable, customized company context. TargetBoard’s domain-expert agents continuously monitor this context, identify risks and opportunities, explain what is changing, and recommend actions. The result is one active operating layer for managing performance across people, AI-assisted teams, automation, and autonomous agents. ## From Passive Dashboards to Agentic Operations AI is changing how work gets done, but most companies still manage performance through disconnected dashboards, inconsistent metrics, and manually assembled reports. These tools may show what happened, but they rarely explain why it happened, what requires attention, or what leaders should do next. They also struggle to distinguish AI activity from measurable improvements in delivery, quality, cost, productivity, and business outcomes. TargetBoard moves organizations from passive reporting to agentic operations. Its agents continuously analyze operational signals, detect meaningful changes, investigate their causes, and surface the issues where leadership attention can change the outcome. Leaders receive reliable insights, alerts, summaries, and recommendations without waiting for analysts or maintaining another internal BI project. ## Improve Delivery Operations TargetBoard gives engineering, product, delivery, and operational leaders a trusted view of how work is progressing across initiatives, portfolios, teams, and systems. By connecting tools such as Jira, GitHub, Linear, Azure DevOps, CI/CD platforms, support systems, HR platforms, AI tools, and other operational sources, TargetBoard helps leaders identify delivery risk earlier and understand what is driving it. Teams can monitor: * Delivery predictability and planning accuracy * Initiative and portfolio risk * Cycle time, throughput, and flow efficiency * Scope changes, dependencies, and bottlenecks * Resource allocation and capacity * Software quality and production stability * Team and organizational performance * AI’s effect on speed, quality, cost, and outcomes Instead of forcing companies to adopt generic definitions, TargetBoard adapts to each organization’s structure, terminology, workflows, metrics, and goals. ## Measure Enterprise-Wide AI Impact AI adoption is no longer limited to engineering. It is changing how work happens across product, support, operations, HR, finance, sales, and other business functions. Yet most companies cannot reliably answer whether AI is improving performance or simply increasing activity and cost. TargetBoard creates a unified view of AI adoption and impact across the enterprise. It connects AI usage and cost to operational and business outcomes, helping leaders understand: * Where AI is being adopted—and where adoption is stalled * Which teams and workflows are using AI effectively * Whether AI is improving productivity, quality, speed, or cost * How AI-assisted teams compare with historical performance * How bots and autonomous agents contribute to execution * Where AI introduces new quality, governance, or operational risks * Whether AI investments are producing measurable ROI This enables CEOs, CIOs, CTOs, AI transformation leaders, and functional executives to move beyond adoption statistics and prove how AI is affecting the business. ## Domain-Expert Agents Grounded in Company Context TargetBoard agents are grounded in each company’s actual data, definitions, structure, and goals. They continuously monitor performance, detect anomalies, explain root causes, and generate plain-language insights and recommendations. Rather than requiring leaders to search through dashboards, the agents proactively surface what changed, why it matters, and what should happen next. TargetBoard’s agents can support areas such as: * Delivery risk and predictability * AI adoption, impact, cost, and ROI * Engineering velocity and productivity * Software quality and production stability * Planning accuracy and resource allocation * Executive reporting and operational reviews * Alerts, investigations, and performance analysis Because the agents operate on a governed and continuously validated company context, their outputs are more reliable, relevant, and actionable than answers generated from disconnected raw data. ## The Heavy Lifting Behind Reliable Insights Reliable AI impact measurement and operational intelligence require more than connecting APIs or generating dashboards. Operational data is fragmented, inconsistent, and shaped by the unique way every company works. Definitions differ across teams, systems change, data quality degrades, and important business context often exists outside the source tools. TargetBoard handles this complexity through: * Deep integrations across operational systems * A customizable semantic and metrics layer * Company-specific definitions, structures, and business logic * Continuous data validation and maintenance * Domain-expert agents and operational models * Hands-on implementation, advisory, and support This gives companies the flexibility and customization of an internal build, combined with the speed, reliability, ongoing ownership, and domain expertise of an established platform. ## Key Benefits ### Agentic Operations Hub One active operating layer that monitors performance, explains changes, and helps leaders improve outcomes. ### Delivery Operations Intelligence Identify delivery risks earlier, improve predictability, and manage execution across initiatives, portfolios, and teams. ### Enterprise-Wide AI Impact Measure AI adoption, cost, impact, and ROI across engineering and the broader organization. ### Domain-Expert Agents Continuously detect risks and opportunities, investigate causes, and recommend actions grounded in reliable company context. ### Human and AI Performance Visibility Understand how people, AI-assisted teams, bots, automation, and autonomous agents contribute to performance. ### Reliable, Customized Company Context Transform complex and fragmented operational data into trusted metrics and insights aligned with how the business actually works. ### Fast, Tailored Deployment Adapt TargetBoard to existing systems, workflows, terminology, and goals without requiring teams to change how they operate. ### Cross-Functional Alignment Give executives and functional leaders one shared view of delivery performance, AI transformation, and business impact. ## Who Uses TargetBoard TargetBoard is built for executives and operational leaders responsible for delivery performance, AI transformation, and enterprise execution—including CEOs, CIOs, CTOs, Chief AI Officers, engineering and delivery leaders, transformation teams, and functional executives. From the boardroom to individual initiatives and workflows, TargetBoard helps organizations understand how work is changing, where AI is creating value, what is putting outcomes at risk, and which actions will improve performance. In a world where work is increasingly performed by people, AI-assisted teams, automation, and autonomous agents, TargetBoard provides the reliable context and domain-expert agents companies need to operate with clarity and control.

Average Rating: 4.8/5.0

Total Reviews: 19

How Do G2 Users Rate TargetBoard?

  • Ease of Admin: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind TargetBoard?

  • Seller: TargetBoard
  • Year Founded: 2024
  • HQ Location: Modiin-Maccabim-Reut, IL
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 79% Medium, 21% Small

What Are Recent G2 Reviews of TargetBoard?

Allstacks

Allstacks is the product definition and intelligence layer for product and engineering teams to plan, manage, measure, and optimize their software factories. The platform creates rich context from your customer voice, codebase, and delivery history and provides purpose-built product and engineering agents to turn ideas into dev-ready specs, faster and cheaper. THE PROBLEM AI made producing output cheap, which moved the constraint onto the judgment calls around it. Those calls decide what to build, whether it will land, and what it costs, and they run on the causal links between strategy, requirements, tickets, commits, and the sprint that ships them. No tool in your stack stores those links. Connect your tools, point an LLM at them, and you get the data in one place without the connective tissue. Agents burn tokens circling it, hallucinate to fill the gaps, and build the wrong thing you then have to rework. The costs: Product managers piece together scattered context and cannot define work fast enough. Delivery leaders run on lagging signals and get blindsided after it's more expensive to fix. Finance estimates capitalizable work from data nobody trusts. WHAT ALLSTACKS OFFERS Allstacks consists of three core products that operate on one Context Graph. Product Studio serves as a collaborative workspace where teams can refine ideas and break them down into actionable tasks, supported by adversarial AI reviewers that assess readiness across multiple disciplines. Software Engineering Intelligence acts as a delivery layer, continuously monitoring and analyzing delivery risks, team performance, and the impact of AI coding tools. Lastly, Software Cost Capitalization automates the classification of development activities, generating finance-ready reports that align with capitalization rules without requiring timesheets. This comprehensive approach ensures that every score, recommendation, and report is backed by verifiable work items, enhancing accountability during leadership reviews and audits. Every score, recommendation, and report cites the work items, commits, and documents behind it, so the answer holds up in a leadership review or an audit. What customers have measured: - PACT creates sharper product plans 4x faster than a Claude and MCP setup - Progress Software cut cycle time by a third across 40 teams and pull-request response time by 25%. - ndustrial tripled developer velocity and saved 120 hours a quarter on reporting. - Enverus cut capitalization prep time by 70% and removed 90% of the manual effort behind the reports. The result is one account of AI-accelerated development that product, engineering, and finance can all work from. KEY USE CASES - Take an idea to a dev-ready spec: Stress-test and iterate on an idea, then decompose it into scoped epics and tickets grounded in your codebase, customer voice, and delivery history. - Score work for engineering readiness: Adversarial reviewers surface feasibility, security, and scope questions ahead of refinement rather than during it. - Manage all aspects of delivery risk: Surface delays, blocked dependencies, and readiness gaps before they escalate into missed commitments or production incidents. - Improve engineering performance: Measure against industry-standard benchmarks and get recommended optimizations from workflow analysis. - Measure AI coding impact: Track adoption and the real delivery effect of tools like GitHub Copilot and Cursor across engineering teams. - Align engineering investment and focus to initiatives: Compare the initiatives you planned against where engineering time actually went. - Automate software R&D capitalization reporting: Generate audit-ready documentation from actual engineering activity, removing timesheet overhead. - Measure developer productivity and experience: Team-level flow, quality, and survey data. Allstacks measures how work moves through your system, not how individuals spend their day. ALLSTACKS CORRELATES DATA ACROSS YOUR STACK 30+ tools across the PDLC and SDLC: - Project and work management: Jira, Jira Align, Azure Boards, Linear, ServiceNow - Source control: GitHub, GitLab, Bitbucket, Azure DevOps - CI/CD: Jenkins, CircleCI, GitHub Actions, Azure Pipelines, GitLab CI/CD, Bitbucket Pipelines, plus hundreds more via webhooks - Documentation: Confluence - Collaboration: Slack, Microsoft Teams, Google Calendar - AI coding tools: GitHub Copilot, Cursor - Spec export targets: Jira, Linear, Azure DevOps, GitHub, GitLab, Cursor, Claude Code, GitHub Copilot Most teams connect their tools and normalize data, with first insights within 48 hours. The platform is SOC 2 Type II certified and offers both multi-tenant (US/EU) and single-tenant deployment options with SSO/SAML support. Allstacks keeps no parallel store of your code and does not train on your data. Trusted by product and engineering organizations including NatWest, Progress Software, RealPage, Bright Horizons, Cribl, Intapp, Alkami, CloudPay, iCIMS, and Enverus.

Average Rating: 4.5/5.0

Total Reviews: 57

How Do G2 Users Rate Allstacks?

  • Ease of Admin: 8.8/10 (Category avg: 8.7/10)
  • Control: 8.8/10 (Category avg: 8.6/10)
  • Report Generation: 9.2/10 (Category avg: 8.5/10)
  • Impact Predictions: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Allstacks?

  • Seller: Allstacks
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Raleigh, NC
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Medium, 28% Large

What Do G2 Reviewers Say About Allstacks?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the quick and helpful customer support from Allstacks, enhancing their overall user experience.
  • Users value the intuitive dashboards of Allstacks, which simplify project tracking and enhance team performance insights.
  • Users highly value the actionable insights from Allstacks, enhancing software delivery and team performance effectively.
  • Users find Allstacks to be easy to use and intuitive, streamlining project management in one unified platform.
  • Users value the clear insights and integrations of Allstacks that enhance understanding of software delivery.
Cons
  • Users find the complex configuration challenging during initial setup, affecting their ability to quickly utilize Allstacks.
  • The difficult setup of Allstacks can complicate initial use despite helpful customer support during the process.
  • Users find the complex user interface overwhelming during setup, with too many integrations and metrics to navigate.
  • Users find connectivity issues frustrating, as daily data syncing delays accuracy in tracking changes effectively.
  • Users find the dashboard setup overwhelming, needing more clarity and customization for optimal use and efficiency.

What Are Recent G2 Reviews of Allstacks?

What Are G2 Users Discussing About Allstacks?

Opsera

Opsera Unified DevOps is a comprehensive platform specifically designed for enterprise software teams to address the challenges of tool sprawl, enhance operational efficiency, and accelerate software delivery. This solution provides a cohesive environment that integrates various tools and processes, allowing teams to manage their development and deployment workflows seamlessly. By leveraging automated toolchains and declarative pipeline templates, Opsera simplifies complex DevOps practices, making it easier for teams to focus on innovation rather than managing disparate tools. The platform is particularly beneficial for organizations facing the complexities of modern software development, where multiple tools and services can lead to inefficiencies and increased risks. Opsera targets enterprises that require a robust solution to unify their development processes, streamline collaboration among teams, and ensure compliance with security protocols. With its capabilities in CI/CD pipeline automation and DevSecOps, Opsera empowers teams to maintain high standards of quality and security throughout the software lifecycle. One of the standout features of Opsera is its ability to automate the entire DevOps toolchain, which includes release orchestration and source code migration. This automation not only reduces manual intervention but also minimizes the potential for errors, thereby enhancing overall productivity. Additionally, the platform's Unified Insights feature provides valuable analytics and reporting, enabling teams to gain a deeper understanding of their workflows and identify areas for improvement. Integration with popular tools such as GitHub, GitHub Copilot, and GitHub Actions further enhances its utility, allowing teams to leverage existing resources while benefiting from Opsera's advanced capabilities. Moreover, Opsera's AI-driven analysis offers predictive insights that help teams make informed decisions, optimize performance, and reduce costs associated with software development. By providing a unified view of the development process, Opsera enables organizations to respond swiftly to changing market demands and deliver high-quality software products more efficiently. This holistic approach to DevOps not only fosters a culture of continuous improvement but also positions enterprises to stay competitive in an ever-evolving technological landscape. In essence, Opsera Unified DevOps stands out as a vital solution for enterprises looking to streamline their software development processes, enhance collaboration, and drive innovation while maintaining a strong focus on security and compliance. Its comprehensive feature set and integration capabilities make it an essential tool for modern software teams aiming to navigate the complexities of DevOps effectively.

Average Rating: 4.6/5.0

Total Reviews: 105

How Do G2 Users Rate Opsera?

  • Ease of Admin: 8.5/10 (Category avg: 8.7/10)
  • Control: 8.3/10 (Category avg: 8.6/10)
  • Report Generation: 8.2/10 (Category avg: 8.5/10)
  • Impact Predictions: 7.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Opsera?

  • Seller: Opsera
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, US
  • Twitter: @opseraio
    386 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    118 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 50% Large, 25% Medium

What Do G2 Reviewers Say About Opsera?

AI-generated summary from verified user reviews

Pros
  • Users find Opsera's ease of use remarkable, enabling quick setups and efficient integration for daily deployments.
  • Users appreciate the powerful automated architectural discovery and seamless CI/CD integration offered by Opsera.
  • Users appreciate the automation capabilities of Opsera, enhancing organization and efficiency in the deployment process.
  • Users commend Opsera for its streamlined deployment process, significantly reducing manual effort and enhancing overall efficiency.
  • Users value the time-saving capabilities of Opsera, significantly reducing manual efforts and enhancing overall productivity.
Cons
  • Users find the difficult setup daunting, especially with complex integrations and a steep learning curve.
  • Users find that Opsera has noticeable performance issues including slow loading times and laggy interface experiences.
  • Users find the complex setup of Opsera challenging, making it tough to manage pipelines effectively.
  • Users find the learning curve for advanced features challenging, impacting adoption for less experienced teams.
  • Users find the complex configuration a challenge, especially during the initial setup and for advanced features.

What Are Recent G2 Reviews of Opsera?

What Are G2 Users Discussing About Opsera?

Flow

Flow helps engineering leaders to optimize their software delivery while building happier, healthier teams. Leveraging Flow enables leaders to eliminate developer friction and wasted efforts through analyzing and surfacing data from your code repositories and Agile tools. Over the last decade, we've refined our product based on feedback from hundreds of enterprise clients, allowing us to curate the data you need to: - Optimize your engineering efforts by ensuring developer work aligns to business priorities - Identify bottlenecks and developer friction, and build healthy development patterns - Improve knowledge sharing and collaboration, coach and develop engineers, reduce onboarding ramp time, and lead inclusively and objectively - Help individual developers better understand their contributions and overcome imposter syndrome …and more!

Average Rating: 4.1/5.0

Total Reviews: 89

How Do G2 Users Rate Flow?

  • Ease of Admin: 7.7/10 (Category avg: 8.7/10)
  • Control: 7.5/10 (Category avg: 8.6/10)
  • Report Generation: 7.9/10 (Category avg: 8.5/10)
  • Impact Predictions: 7.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Flow?

  • Seller: Appfire
  • Company Website:
  • Year Founded: 2005
  • HQ Location: Boston, Massachusetts
  • Twitter: @Appfire
    1,632 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    727 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 64% Medium, 18% Small

What Are Flow's Pros and Cons?

Pros
  • Ease of Use (1 reviews)
  • Easy Setup (1 reviews)
  • Flexibility (1 reviews)
  • Improvement (1 reviews)
  • Productivity Improvement (1 reviews)
Cons
  • Categorization Issues (1 reviews)
  • Lack of Customization (1 reviews)
  • Limited Customization (1 reviews)
  • Limited Features (1 reviews)

What Are Recent G2 Reviews of Flow?

What Are G2 Users Discussing About Flow?

eVSM

eVSM is a complete lean toolkit to map, model and improve value streams of every type

Average Rating: 4.4/5.0

Total Reviews: 10

How Do G2 Users Rate eVSM?

  • Ease of Admin: 10.0/10 (Category avg: 8.7/10)
  • Control: 8.5/10 (Category avg: 8.6/10)
  • Report Generation: 8.1/10 (Category avg: 8.5/10)
  • Impact Predictions: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind eVSM?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 45% Large, 27% Medium

What Do G2 Reviewers Say About eVSM?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the effective visualization capabilities of eVSM, enhancing workflow management and real-time data tracking.
  • Users appreciate the productivity improvement from eVSM, enhancing workflow visualization and performance tracking effectively.
  • Users appreciate the tracking efficiency of eVSM, aiding real-time data analysis for better production performance.
  • Users find the automation capabilities of eVSM helpful for enhancing efficiency and streamlining value stream mapping.
  • Users value the helpful customer support of eVSM, appreciating personalized assistance and timely resolutions to queries.
Cons
  • Users find the learning difficulty challenging, especially those new to value stream mapping or Lean practices.
  • Users note that the complex user interface requires some improvements for a better experience.
  • Users express concerns about the poor customer support, emphasizing the need for better guidance and assistance.

What Are Recent G2 Reviews of eVSM?

What Are G2 Users Discussing About eVSM?

Adam Crivello
AC
Researched and written by Adam Crivello
Updated October 3, 2024