Top Free Product Management Software - Page 5

productfolio

Amazing Product Management software, so your team can focus on building amazing products! Define your strategy, collect and organize ideas, score and prioritize roadmap candidates, define a visual roadmap, and define your product briefs, user stories, and product releases -- all in a singles place. We have industry leading user experience and features -- for a friction the cost of our competitors. Check out why everyone is talking about Productfolio.com!

Average Rating: 3.8/5.0

Total Reviews: 2

Supahub

Supahub is a free customer feedback tool to collect, manage, and prioritize feature requests. No more lost or ignored feedback. Unlike traditional methods of collecting feedback through email or chat, Supahub saves you valuable time by consolidating conversations and emails into a centralized platform. With Supahub boards, you can create a dedicated space for feedback on specific topics such as feature requests, bug reports, blog topics, and FAQs. Boards can be either public or private, enabling teams to manage feedback internally if needed. With Supahub, you can easily follow up on feedback by commenting on posts and updating their status as "In-Progress", "Planned" or "Complete". The best part is that only the individuals who voted on the post will receive notifications, keeping everyone informed and engaged. Say goodbye to the hassle of managing feedback from multiple sources and embrace the efficiency and organization that Supahub brings to your feedback management process.

Average Rating: 5.0/5.0

Total Reviews: 2

Atono

Atono is a product engineering platform that keeps the whole product loop in one system — plan, build, feature-flag, measure — instead of a tracker, a flag service and an analytics tool that lose the thread between them. Most teams run at least three. The story lives in the tracker. The flag controlling its rollout lives somewhere else. The usage data proving anyone wanted it lives in a third place. Nothing connects them, so the reasoning behind the work — why this was built, what was decided, which customer the edge case was for — survives only in someone's head or a document nobody updated. Atono puts them on one record. A story carries its acceptance criteria, the feature flag controlling its rollout, the engagement data showing what happened after release, and the decisions behind all of it. WHAT YOU GET Plan. Write stories with an assistant that already knows your product. It draws on your Glossary, past decisions and related work, then turns the conversation into a story with acceptance criteria your team can build from. Ask it to review a story and it flags the gaps — vague criteria, missing edge cases, contradictions — before anyone starts work. Build. Living Stories hold the decisions, design notes and investigations attached to the work itself, not filed separately. When someone joins the team or picks up an unfamiliar area, the reasoning is on the story rather than lost. Deploy. Feature flags are built in, and the flag lives on the story that defined the feature. Roll out by percentage or segment, roll back instantly, and always know which story a flag belongs to and why it exists. No separate flag service to buy, and no stale toggles nobody can trace back to a decision. Measure. Feature engagement data lands on the same story that carried the spec and the flag. You can see whether the thing you shipped was used, by whom, and how that changed after the rollout — without exporting anything or joining two systems by hand. PRODUCT KNOWLEDGE YOUR TEAM AND YOUR AI TOOLS SHARE The Glossary is a permissioned, authored definition of your product's concepts and how they relate — what your team actually means by "account", "workspace", "trial", "active user". Not a wiki page mentioning those words. A definition someone owns. That matters more than it used to. AI coding agents now write a large share of the code, and they write from whatever context they can reach. Reach the wrong context and you get work that looks right, passes review, ships, and fails three weeks later when a real user does the thing nobody specified. The problem is rarely the model. It's that the product's meaning was never written down anywhere the agent could get to it. Atono serves that context to Claude Code, Claude Desktop, Cursor, VS Code and GitHub Copilot, Windsurf and Codex through a native MCP server. Your agents read the story, its acceptance criteria, the glossary terms it depends on and the decisions behind it — then write against the same understanding your team has. They can create and update stories, bugs, epics and subtasks too, so the work stays current without anyone switching windows to file it. MCP is how agents reach your product context. The context itself is the product. RUN IT ALONGSIDE WHAT YOU HAVE You don't have to migrate to start. Most teams begin with one team on Atono next to their existing stack, capturing product context firsthand rather than syncing it from somewhere else. Jira Cloud import and Linear CSV import bring your existing work across when you're ready, one team at a time. WHO IT'S FOR Product managers and product owners who are tired of writing the same context into three tools. Engineering leaders who want to see what was shipped, whether it was used, and what it cost — without assembling that from four dashboards. Engineers and engineering managers running AI coding agents who need those agents to understand the product, not just the codebase. Teams of roughly 10 to 200 building a software product, on Scrum or Kanban, who have outgrown a tracker but don't want three more subscriptions. WHAT MAKES IT DIFFERENT Feature flags and engagement data are native, not integrations. Most trackers connect to a flag tool and an analytics tool. Atono holds the flag and the usage data on the story, which is the only way the loop actually closes. Product context is authored, not inferred. A glossary term has an owner and a definition. It isn't a relationship guessed from years of documents and tickets. AI usage isn't metered. Run the story assistant and the reviewer as often as you want. There's no credit balance to watch and no per-action charge. It replaces tools rather than adding one. The point isn't another place to keep context about all the other places keeping context. It's one system where the plan, the rollout and the result are the same record. PRICING Free — $0 forever, up to 25 users. Starter — $19 per user per month, unlimited users. Growth — $39 per user per month, unlimited users. The MCP server and its tools work on every plan. On Free, product knowledge, AI context and Premier AI features run as a 30-day trial. Feature engagement history is 90 days on Starter and one year on Growth.

Average Rating: 4.5/5.0

Total Reviews: 1

Matilda Workspace

The All-New All-In-One Workspace for Modern Teams Embracing the concept of a unified workspace, Matilda brings a powerful suite of best-in-class apps together in one place, allowing teams across the globe to connect, create, coordinate, and delight their customers effortlessly. With its mission to simplify technology, Matilda empowers organisations to do more with less, making it an essential tool for startups to Fortune 500 companies alike. Key Features: -Powerful Apps Included: Matilda comes packed with a suite of powerful applications including Docs, Projects, Tables, Chat, Customers, and Copilot, ensuring that teams have all the tools they need to succeed. - Create with Ease: With Docs, teams can co-edit in real time, making document creation and coordination seamless. This feature aims to replace Google Docs, Notion, and Coda, by providing a more integrated and efficient experience. - Streamlined Project Management: Matilda's Projects feature allows for effortless management and tracking of every aspect of your projects. With capabilities like auto-scheduling, it's designed to replace tools like Jira, Trello, and Asana. - Advanced Data Management: Although Tables are coming soon, they promise to redefine data handling by syncing data from hundreds of sources or creating new collections, aiming to replace tools like Airtable, Notion, and Segment. - Seamless Communication: Chat brings all team communication into one place, integrated across projects, tasks, and docs, providing an alternative to Slack and MS Teams. - Customer Relationship Management: The soon-to-be-released Customers feature will allow teams to effortlessly track leads and manage customer interactions in one streamlined interface, aiming to replace Salesforce and Hubspot. - AI-Powered Assistance: Copilot offers custom AI assistants to help automate and streamline workflows, aiming to replace AI tools like ChatGPT and Google Bard. Conclusion: Matilda Workspace stands out as an all-encompassing solution that not only promises to streamline and simplify the way teams work but also embraces the future with its AI-powered capabilities and commitment to sustainability. Whether you’re managing projects, coordinating with your team, handling customer relationships, or leveraging AI for automation, Matilda Workspace provides an intuitive, powerful, and adaptable platform for every kind of team to thrive. Try Matilda today and experience the future of work, designed to help you deliver projects on time, every time.

Average Rating: 4.7/5.0

Total Reviews: 14

PM-33

PM-33 is an AI-powered product management platform built for product teams that need to move faster without losing strategic alignment. Unlike task trackers and project management tools retrofitted for PMs, PM-33 is purpose-built for the full product management workflow — from strategy to execution. It connects your business objectives directly to the features you ship, so every decision on the roadmap has a clear "why" behind it. Core capabilities: - AI-powered PRD generation — generate complete, structured product requirements documents with strategic context already embedded, not as an afterthought - Strategy extraction — paste in a vision doc, OKRs, or board deck and PM-33 extracts your strategic priorities and links them to every work item - Multi-framework prioritization — score and rank features using RICE, ICE, WSJF, or your own custom framework, all in one place - Competitive intelligence — built into the workflow, not a separate tool - What-if scenario modeling — model roadmap trade-offs before committing - Revenue attribution — see the projected revenue impact of each feature before you build it Product RAG & context extraction — PM-33 pulls live context from across your stack — Slack conversations, Linear tickets, Teams channels, SharePoint documents, meeting notes, and more — and surfaces the right signal at the right moment. Ask a question about your product and get an answer grounded in your actual team's data, not generic AI outputs. MCP (Model Context Protocol) support — PM-33 exposes its full data model as an MCP server, letting AI assistants like Claude connect directly to your product context. Your AI tools work with your real roadmap, PRDs, and priorities — not stale exports. Enterprise data governance — built-in data classification controls let you define what context flows where. Apply sensitivity labels to PRDs, roadmap items, and customer data. Enforce review workflows before AI-generated content reaches stakeholders, with full audit trails for compliance teams. Integrations — Jira, Linear, Asana, GitHub, Notion, Slack, Microsoft Teams, SharePoint, and 3rd party synthetic persona product feedback Available on: Atlassian Marketplace (Forge app) and Microsoft AppSource — install PM-33 directly inside your existing Jira or Teams environment with no additional infrastructure required. PM-33 is used by product teams at SaaS companies who are tired of the gap between strategy documents and what actually gets built. If your team's roadmap lives in a spreadsheet, your PRDs in a wiki, and your priorities in someone's head — PM-33 brings it all together.

Average Rating: 5.0/5.0

Total Reviews: 1

Brief

Brief is the AI Product Navigator for founders and product teams building with speed. It gives your team a shared brain for what to build and why; combining company context, customer insight, product decisions, and execution signals in one place. Instead of losing strategy in docs, chats, and people’s heads, Brief helps teams capture context, make better product calls, and guide both humans and AI coding agents toward the right work. It’s built for early-stage founders and growing product teams who need stronger product thinking without adding heavyweight process. Brief becomes the institutional memory for your business: the place where decisions, priorities, customer understanding, and roadmap logic stay connected as the team scales.

Featurebase

Featurebase is a modern customer support & product suite that combines AI-powered support, feedback collection, help docs, roadmaps, and changelogs into a single platform for startups. It's loved by thousands of fast-growing teams from companies like Lovable, Raycast, and n8n. 💫 Instead of having 5+ different tools, Featurebase offers everything in one place to help you build products your users love: - Support platform – Support your customers from anywhere with an omnichannel inbox and automate support with powerful AI agents. - Feedback collection & voting: Centralize feedback with in-app widgets, integrations, and a dedicated feedback forum. Let users vote on each other's feature ideas, see their total revenue, and focus on the most impactful features. Plus, all upvoters will automatically be notified when you ship their request. - Changelogs: Announce product changes and increase feature adoption with neat in-app popups, notification emails, and a standalone changelog page. - Help Center: Provide self-serve support with a beautiful knowledge base & bring help articles inside your product with a lightweight widget. - Surveys (NPS, CSAT, etc.): Create targeted in-app surveys to ask users anything and measure customer satisfaction.

Average Rating: 4.7/5.0

Total Reviews: 52

FeatureShark

FeatureShark is an all-in-one platform designed to revolutionize how you collect and manage customer feedback. With FeatureShark, you can centralize feedback from various sources, prioritize features based on data-driven insights, and streamline your product management process. The platform offers a complete feature suite that includes feedback collection, visual roadmaps, and a support hub to turn every interaction into a product insight.

GLIDR

GLIDR is a product management system that helps teams bring all of their product knowledge together in one place and make data-driven decisions on what to build, from roadmap through discovery, launch and iteration. The hard truth is that most product and feature launches don’t live up to expectations. Most of the time this results from a failure in discovery rather than a failure in delivery. GLIDR puts discovery and validation at the center of your roadmapping process so that you can ship products that matter.

IdeaLift

IdeaLift is a decision intelligence platform for product teams. It solves a specific problem: product decisions get made in Slack, Teams, and Discord every day — and then disappear into chat scroll, never to be found again. This is Decision Decay, and it costs product teams more than they realize in relitigated debates, onboarding friction, and misaligned roadmaps. IdeaLift uses ambient AI detection to capture decisions directly from your existing conversations — no new workflow, no manual tagging, no forms. When a decision happens in chat, IdeaLift surfaces it, structures it, and preserves who decided, why they decided it, and what alternatives were rejected. That decision record then syncs automatically to Jira, Linear, or GitHub so it lives where your team already works. Unlike feedback management tools that collect feature requests, IdeaLift captures the decisions that actually shape your product. The result is a living decision memory layer that your whole team can query — new hires, returning teammates, and leadership — without anyone having to reconstruct context from a six-month-old Slack thread. IdeaLift connects to Slack, Microsoft Teams, and Discord in minutes. No implementation project. No behavior change required from your team.

Lane

Lane is an outcome-focused product management tool designed to streamline product discovery, planning, and roadmapping. Built for product leaders, Lane unites business goals, customer insights, and development workflows into a single platform. Its intuitive design eliminates clutter, promotes flexibility, and provides actionable guidance to help teams prioritize and deliver impactful product decisions. Whether you're aligning objectives, collecting feedback, or tracking progress, Lane simplifies complex processes to ensure better, faster results.

MindBacklog

MindBacklog is the Product Intelligence Platform that empowers you across the entire product lifecycle — from concept validation to launch to growth. Every other tool starts from zero. Generic AI forgets your product. Legacy PM tools require live users before they're useful. Nobody compounds intelligence from day one. MindBacklog does. The MIND engine remembers your product permanently. Every signal, every decision, every shipped feature builds sharper intelligence. Week 1 is good. Week 10 is uncanny. Your newest PM inherits the intelligence of your best one. What makes it different: • Unlimited channel ingestion — app reviews, email, Slack, widget, portal, forms, web scraper, Reddit, REST API • AI signal classification and evidence-based WSJF/RICE scoring • Three-bucket pipeline: Radar → Ideas → Roadmap • Ask Mind — AI product coach with deep, persistent product memory • Competitive intelligence — monitor competitor app reviews and websites automatically • Auto-generated PRDs, user stories, and effort estimates in one click • Works from concept stage — validate before writing code 14-day free trial, no credit card required.

Product Copilot

Product Copilot is an AI assistant for everyone who works in Jira and Confluence: Product Owners, Product Managers, Developers, QA, Customer Success, or Scrum Masters. If Jira is part of your daily work, Product Copilot helps you move faster and with better quality. The Product Copilot browser extension adds AI directly to Jira and Confluence (cloud and data center) and supports software product teams with their day-to-day product work. Create better tickets, refine your backlog, search faster, and ship clearer work. You focus on value and let AI handle the manual work. It feels like ChatGPT, but directly inside Jira and Confluence – with access to all your product knowledge, if you choose to connect it. WHAT YOU CAN DO WITH PRODUCT COPILOT ✓ Create tickets in seconds Turn rough ideas or screenshots into clean Jira tickets according to your templates. ✓ Get instant quality checks Product Copilot spots missing details, edge cases, and unclear scope. ✓ Search Jira and Confluence naturally Ask questions instead of writing complex JQL queries. ✓ Keep control of your backlog easily Product Copilot spots duplicates, unclear tickets, and items not ready for refinement. ✓ Create clear product docs PRDs, release notes, and other Confluence pages. You focus on decisions. Product Copilot does the writing. Built for developers too Use the Product Copilot MCP server directly in your IDE. YOU'RE IN CONTROL You have full control over your data. Product Copilot does not automatically connect to your Jira or Confluence. You decide what projects or spaces it can access. Your data is safely processed, strictly separated from other users' data and never used for AI model training. We decided to build Product Copilot as a browser extension, not an Atlassian plugin. Why? It gives you full flexibility to use it alone or with your team. You installing Product Copilot has no effect on other Jira users. You can use Product Copilot completely for free and with full access to all features for 28 days. If you like it, you can choose a license model. If not, you are downgraded to a free basic version. HOW IT WORKS 1. Install the browser extension Add Product Copilot to Chrome from the Chrome Webstore: https://chromewebstore.google.com/detail/product-copilot/glpkeakdogamghpbkiabknlpdcdacpga Takes about 30 seconds. No IT department needed. 2. Connect Product Copilot Connect Jira and Confluence to create and work on issues. You decide what it can read and what not. 3. Open Jira or Confluence Product Copilot adds additional buttons and actions directly inside your Jira and Confluence. Chat, create tickets, search, and write. Right where you already work.

Suggix

Suggix: A user-driven product planning and management platform. Turn users into stakeholders. Turn feedback into a shared journey. Suggix is a user feedback platform that treats your roadmap like a high-performance project management system—while giving users visibility into how things are progressing. By making priorities, ownership, and timelines visible, you don’t just ship features; you build trust and a stronger relationship with your users. Why Suggix? (The Transparency Edge) Most tools act as black boxes: users submit ideas and rarely hear what happens next. Suggix changes that by making progress visible. When work moves forward, users can see it, which creates clarity and trust that static roadmaps can’t provide. What Makes Suggix Different? 1. Pro-Grade Task Management (Public by Choice) Every piece of feedback can be managed as a task internally, while selectively exposing meaningful progress to users. • Live status updates: Users can track where a feature stands, such as refining, development, or QA. • Transparent prioritization: Show how decisions are made by indicating priority levels. • Public timelines: Share expected delivery windows to create alignment and shared expectations. 2. Interactive Roadmaps with Real Progress Your roadmap is not a static list. It reflects real work in motion, continuously updated based on actual task progress rather than manual curation. 3. Automated Feedback Loop When a task is completed, Suggix automatically closes the loop. Users who submitted or followed the feedback are notified, and related changelog updates can be generated immediately. The Trust Factor For users: They feel informed and involved rather than ignored. They can observe how their input influences the product over time. For teams: Transparency increases focus and accountability, especially when timelines and priorities are visible externally. For founders: It enables a consistent “build in public” approach without extra overhead. The Outcome From a closed system to a transparent workflow. Instead of guessing what to build next, you align with your users and build with clear signals. With Suggix, your development process becomes something your users can understand and follow, not just a hidden internal workflow.

Trypp

Trypp revolutionizes how UX teams optimize user experiences. Our mission: empower designers, product managers, and developers with accurate, data-driven insights into real user interactions for streamlined workflows and intuitive experiences. At the core is our innovative time on feature & task tracking technology. A simple code snippet automatically monitors user clicks within your live application, providing granular data on task completion times, error rates, bottlenecks, and user struggles. Unlike traditional methods, Trypp captures real user behavior in natural environments, accounting for distractions and edge cases. This continuous data collection empowers teams to identify and address usability issues as they emerge. Through an intuitive, no-code interface, teams define tasks to track without complex setup. Trypp's dashboard presents actionable data for data-driven decision-making and UX prioritization. At Trypp, we believe great user experiences stem from understanding real users. By providing quantifiable insights into user interactions, we bridge the gap between design and reality, helping teams create efficient, intuitive, delightful experiences. Join our revolution in user experience optimization. Experience Trypp and unlock a new level of user understanding for product success.