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: 4.5/5.0
Total Reviews: 380
How Do G2 Users Rate DX?
- Data Context: 8.6/10 (Category avg: 8.8/10)
- Productivity Updates: 8.4/10 (Category avg: 8.9/10)
- Analytics and Trends: 9.1/10 (Category avg: 8.9/10)
- Ease of Admin: 8.8/10 (Category avg: 8.8/10)
Who Is the Company Behind DX?
- Seller: DX
- Company Website:
- Year Founded: 2020
- HQ Location: Salt Lake City, Utah, United States
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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, Information Technology and Services
- Company Size: 67% Medium, 27% Large
What Do G2 Reviewers Say About DX?
AI-generated summary from verified user reviews
Pros
- Users value the data-driven insights from DX, enabling informed decisions that enhance the entire development process.
- Users value the metrics analysis capabilities of DX, enabling data-driven decisions and improved developer experience across teams.
- Users commend the great collaboration and responsiveness of DX, enhancing their overall experience and satisfaction.
- Users admire the intuitive interface of DX, enhancing usability and enabling custom metrics for informed decision-making.
- Users find that DX significantly enhances productivity improvement by identifying bottlenecks and facilitating data-driven decisions.
Cons
- Users highlight metrics issues in DX, as data can misrepresent team performance and lack full context.
- Users note the limited features of DX hinder effective application and understanding within their team processes.
- Users experience integration issues due to manual setup requirements, limiting flexibility and complicating the process.
- Users find that DX requires a high level of team maturity, limiting its effectiveness without proper adoption and practice.
- Users find the complex configuration of DX challenging, requiring extensive manual setup for integrations and insights.
What Are Recent G2 Reviews of DX?
"Seamless GitHub and Deployment Metrics with Actionable AI Insights"
Rating: 4.0/5.0 stars
— Clinton S.
"Seamless GitHub Integration with Easy Onboarding and a Modern UI"
Rating: 4.5/5.0 stars
— Ivano A.
