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AI tools for Project Managers

DX — AI for Project Management & Agile

Measure the real impact of AI on your engineering team's productivity and align development with strategic business goals.

Get SDLC analytics, AI usage insights, and developer experience metrics to optimize workflows and prove ROI.

Best forAI for Project Managers
DifferentiatorProprietary 'Core 4' framework combining DORA, SPACE, and DevEx metrics.
ProofUsed by Dropbox, Vanguard, Adyen, and Booking.com.
Explore DX
Pricing on request
7.9 Zekai
Enterprise Engineering Intelligence
AI for Project Management & Agile
Ease of Use
7.4
Accuracy
8.8
Value
6.8
Time Saving
8.0
AI ImpactProductivity AnalyticsDeveloper ExperienceExecutive DashboardsEnterprise-Ready
📊 Independently reviewed and scored. How we score →
✍️ Reviewed by Zekai Editorial Team · Updated August 7, 2026
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Zekai Verdict

What is it?
DX is an engineering intelligence platform for Project and Agile managers overseeing software development.
Best for
Best for data-driven project leaders in enterprise-scale engineering teams seeking to quantify the ROI of AI tools and…
Not ideal for
Pricing is not public and requires a sales demo, suggesting a high-cost, enterprise focus.
Price
Pricing on request
Zekai Score
7.9/10
Visit official site ↗Compare alternatives →Why this score →
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⚡ Quick answer

For Project Management & Agile, the best AI platform for measuring engineering team performance is DX. It provides a comprehensive engineering intelligence suite that analyzes the entire SDLC, quantifies the impact of AI coding assistants, and measures developer experience. With its 'Core 4' framework based on DORA and SPACE metrics, DX enables managers to move beyond simple ticket tracking to make strategic, data-driven decisions that align R&D with business goals.

CategoryEngineering Intelligence Platform
Best ForMeasuring AI impact and developer productivity in enterprise teams.
Price FromOn request
FreeNo
DifferentiatorProprietary 'Core 4' framework combining DORA, SPACE, and DevEx metrics.
ProofUsed by Dropbox, Vanguard, Adyen, and Booking.com.
Rating7.9/10
📖 About DX
How It Works

Your workflow, automated

1
Connect Your SDLC Data
Integrate DX with your development tools to start collecting data on code commits, PRs, sprints, and AI tool usage.
2
Analyze Productivity & AI Impact
Use the dashboards to track DX Core 4 metrics, analyze sprint performance, and measure the specific impact of AI on code output.
3
Report & Optimize
Generate executive reports to align engineering with business goals and use workflow insights to remove bottlenecks for your team.
Ready to automate your workflow with DX?
Explore DX →
Real Impact

Before & After

❌ Before

Struggling to quantify developer productivity and the impact of new AI tools.

Guesswork & anecdotal feedback
✅ After

Making data-driven decisions based on clear metrics for productivity, AI ROI, and developer experience.

DX Core 4 & AI Impact scores
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Analyze AI Impact on Productivity

Analyze the impact of AI-generated code on developer productivity. Track AI code by commit, PR, team, and repo to understand its real contribution to output and identify trends. Report on key metrics like adoption rates …

Build AI Agent Context Layer

Build the necessary context layer for AI agents to perform their work safely and with precision. Define the systems catalog and manage context to ensure AI agents have the information they need for accurate task executio…

Optimize SDLC for AI Acceleration

X-ray the Software Development Lifecycle (SDLC) to identify the highest-opportunity areas for AI acceleration. Analyze task scoring and delegate more tasks to AI agents based on their suitability.

AI Prompts

Prompts for Project Managers

Prompt 01 Draft a Project Charter
You are an expert PMO director. Based on the following project brief, draft a complete project charter. **Project Brief:** - **Goal:** Launch a new mobile app for our e-commerce store. - **Scope:** Includes iOS and Android apps, integration…
Prompt 02 Draft a Stakeholder Update
You are the Project Manager for 'Project Alpha'. Using the following raw data points, write a concise and professional weekly status update email for executive stakeholders. Adopt a confident but realistic tone. **Data Points:** - **Project…
Prompt 03 Analyze a Burndown Chart
You are an Agile coach. This is our sprint burndown data: Day 1: 50 points Day 2: 48 points Day 3: 47 points Day 4: 40 points Day 5: 39 points Day 6: 38 points Day 7: 38 points (weekend) Day 8: 38 points (weekend) Day 9: 30 points Day 10: 2…
See all 30 AI prompts for Project Managers →
Social Proof

Trusted by professionals

Ease of Use
7.4
Accuracy
8.8
Value
6.8
Time Saving
8.0

"Finally, a way to actually measure the impact of Copilot. The AI Measurement dashboards gave us the exact data we needed to justify the investment to leadership."

Chao L., Engineering Lead · June 2026

"The Executive Reporting feature is a game-changer. I can now have strategic conversations with the board backed by solid data on our engineering output and efficiency."

Maria S., VP of Engineering · May 2026

"The insights are powerful, but the setup is not trivial and it's definitely overkill for smaller projects. It's an enterprise tool through and through, both in features and likely cost."

Ben T., Agile Coach · April 2026

"DX helped us pinpoint a major bottleneck in our PR review process that wasn't visible in Jira. The Workflow Analysis tool is fantastic for improving team velocity."

Jasmine K., Senior Project Manager · March 2026
See Plans & Pricing →
Connects With

DX integrations

The website mentions 'Data Connectors' to unify context from across the SDLC, but does not list specific integrations. Prospective customers should verify connectors during the demo process.
Setup complexity: Enterprise
DX is an engineering intelligence platform for Project and Agile managers overseeing software development. It provides deep analytics into the Software Development Life Cycle (SDLC), developer experience, and the true impact of AI coding assistants, enabling data-driven decisions to boost productivity and align R&D with business objectives.
Comparison

Best DX alternatives

While Jira dashboards provide basic project metrics like velocity and burndown charts, DX operates on a different level. Choose Jira for day-to-day task and sprint tracking. Choose DX when you need to answer strategic questions: 'What is the ROI of our AI tools?', 'Where are the systemic bottlenecks in our SDLC?', or 'How does our team's performance benchmark against the industry?'. DX provides deep, cross-system analytics for engineering leaders, whereas Jira provides operational views for the immediate project team.

You need a hands-on task management tool, not just analytics.
You require a tool with transparent, publicly listed pricing.
You manage a small team and need a simpler, less expensive solution.
The decision

Is DX worth it?

Return on investment
Given its enterprise focus, teams using DX can expect to justify significant R&D spend by identifying and resolving multi-million dollar productivity bottlenecks.
Built for
Engineering Managers, VPs of Engineering, Agile Coaches, and Project Managers in tech-forward organizations who need to measure and optimize software development performance, especially with the adoption of AI tools.
Effort to adopt
Enterprise
Compliance
Compliance posture not publicly documented — verify with vendor.
Who It's For

Why Project Management & Agile choose this tool

🎯
Built for
Best for data-driven project leaders in enterprise-scale engineering teams seeking to quantify the ROI of AI tools and optimize developer productivity.
In-Depth Overview
For project and agile managers, traditional metrics like story points or tickets closed fail to capture the nuances of modern, AI-assisted software development. DX provides an engineering intelligence platform to move beyond surface-level data and measure what truly drives performance. Its 'AI Measurement' module is purpose-built to track the utilization and impact of tools like GitHub Copilot, allowing managers to prove the ROI of their AI investments. The platform's 'Engineering Productivity' and 'SDLC Analytics' features use the proprietary 'DX Core 4' framework, which encapsulates industry standards like DORA, SPACE, and DevEx. This provides a holistic view of team health and output, helping you find bottlenecks, optimize workflows, and align engineering efforts with business goals. With backing from major tech organizations like Dropbox, Adyen, and Vanguard, DX offers credible, enterprise-grade analytics to help you lead a high-performing, AI-native engineering organization and communicate its value effectively to executive stakeholders.

Key Use Cases

📈
Justify the Team's Investment in AI Copilot Tools
Engineering Manager
Use DX's AI Measurement module to track AI-generated code by commit, PR, and team. Present clear reports on productivity impact and ROI to leadership.
Data-backed ROI reports
✓ Pros
Directly measures the impact and ROI of AI code assistants.
Combines DORA, SPACE, and DevEx metrics in its 'Core 4' framework.
Provides executive-level reporting to align engineering with business goals.
Trusted by major tech companies like Dropbox, Adyen, and Vanguard.
Offers workflow analysis to identify and remove team friction points.
· Cons
Pricing is not public and requires a sales demo, suggesting a high-cost, enterprise focus.
Requires a 1-year minimum contract term.
May be overly complex for smaller teams or projects not heavily invested in AI.
Focus is on analytics and intelligence, not a hands-on project execution tool.
⚡ Editorial Verdict

DX provides unparalleled, granular insights into how engineering teams, especially those using AI, actually work. It's a powerful strategic tool for managers who need to justify R&D spend and optimize workflows, but its enterprise focus and opaque pricing model make it inaccessible for smaller teams.

See all 103 AI tools for Project Managers → Browse the AI Directory →
Questions & Answers

Frequently asked questions

How can I measure the ROI of AI coding tools for my agile team?

+
DX's AI Measurement module is designed for this. It tracks AI-generated code by commit, PR, and team, providing usage analytics and impact analysis to quantify the effect of AI on engineering productivity.

What's the best AI platform for analyzing engineering team productivity?

+
DX is a leading engineering intelligence platform that provides SDLC analytics, workflow analysis, and a proprietary 'Core 4' framework (DORA, SPACE, DevEx) to measure output, find bottlenecks, and improve team performance.

How do I identify bottlenecks in my software development lifecycle?

+
DX's SDLC Analytics and Workflow Analysis tools help you see how developers work and where they get stuck. By measuring key metrics and developer sentiment, you can pinpoint friction and optimize processes.

How does DX handle pricing and contracts?

+
DX offers modular pricing based on developer licenses, with a minimum 1-year contract term. Pricing is not public; you must contact their sales team for a demo and a quote. They offer volume discounts and multi-year options for larger enterprises.

Can I try DX before buying?

+
Yes, DX provides no-cost proof of concepts (POCs) for a subset of your organization. This allows you to validate the platform's impact and value before committing to a full-scale implementation.

Which tool analyzes DORA and SPACE metrics for software teams?

+
DX is built around its 'Core 4' measurement framework, which encapsulates metrics from DORA, SPACE, and DevEx to provide a comprehensive view of engineering productivity and developer experience.

Last reviewed:

Plans & Pricing

DX pricing and plans

Pro
Pricing on request
Modular pricing based on developer licenses. Minimum 1-year contract. Volume discounts available. Contact sales for a demo and quote.
Start Pro Plan
Enterprise
Pricing on request
Tailored for teams and large organisations.
Contact Sales

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Getting Started with Engineering Intelligence
  • **Understand the Core 4:** Learn how DX combines DORA, SPACE, and DevEx metrics.
  • **Identify Your Goals:** Are you measuring AI ROI, developer experience, or cycle time?
  • **Map Your SDLC:** List the key tools in your development and deployment pipeline.
  • **Define Key Reports:** What data do your stakeholders (from team lead to C-suite) need?
  • **Start Small:** Focus on one team or one key metric to prove value quickly.
+3 more steps inside the guide
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About DX

Full Description

DX is an engineering intelligence platform for Project and Agile managers overseeing software development. It provides deep analytics into the Software Development Life Cycle (SDLC), developer experience, and the true impact of AI coding assistants, enabling data-driven decisions to boost productivity and align R&D with business objectives.

Editorial Verdict

DX provides unparalleled, granular insights into how engineering teams, especially those using AI, actually work. It's a powerful strategic tool for managers who need to justify R&D spend and optimize workflows, but its enterprise focus and opaque pricing model make it inaccessible for smaller teams.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to DX unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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