Pensero vs. DX[Skip to content](#main) [Pensero](/) [Book a demo](/book-demo) ![](/assets/hero-dashboard.DgLYay_w_2kNOfc.avif) Head-to-Head # Pensero vs DX Same problem. Different approach. Engineering performance matters. DX helps you understand how engineers feel about their work. Pensero helps you understand what actually happened in your systems. [Let's talk](/book-demo) How do they differ? ## DX and Pensero solve adjacent but fundamentally different problems. **DX** gives visibility into developer experience. **Pensero** gives visibility into engineering performance. Pensero andDX, feature by feature | Feature | Pensero | DX | | --- | --- | --- | | AI adoption and usage trackingDX blends surveys with usage data; Pensero reads delivered work | Yes | Yes | | AI spend and token cost tracking | Yes | No | | Delivered output weighted for size and complexity | Yes | No | | Humans, AI-assisted engineers and agents on one scale | Yes | No | | Cost per unit of delivered work | Yes | No | | Cross-company benchmarksDX benchmarks productivity; Pensero benchmarks delivered value | Yes | Yes | | Recommendations on what to do nextDX recommends adoption practices; Pensero says which work moves to agents | Yes | Yes | | Level on the five levels, measured from delivery data | Yes | No | | Forward-deployed engineers and transformation programme | Yes | No | What is the core difference between Pensero and DX? Pensero measures engineering performance through objective delivery evidence — code, tickets, documents and workflow data. DX centers on developer experience and sentiment, gathered primarily through surveys. If you need to know what actually happened in your systems, not just how developers feel about it, Pensero is the better fit. Does Pensero use developer surveys like DX? No. Pensero's core measurement model runs on delivery artifacts, workflow complexity, quality signals, and AI contribution data, no surveys required. It can sit alongside a sentiment program if you run one, but it doesn't depend on self-reported input to function. Which platform is better for performance reviews and calibration? Pensero is built for calibration workflows and team benchmarking, grounding performance conversations in measurable execution outcomes rather than manager impression alone. Can DX show the business value of AI-assisted engineering work? DX has recently added AI code tracking by commit and PR. Pensero's approach goes a step further by separating human, AI-augmented, and agent-generated contribution, then connecting that to delivery value, defect impact, and cost,  so leaders can see not just how much AI-assisted code shipped, but whether it actually helped. How quickly can we start seeing useful data with Pensero? Most teams connect core tools in about an hour, see early insights in one day, and establish board-ready reporting in about a week. Historical data is available from day one after connecting your stack. Is Pensero only for engineering managers? No. Pensero supports engineering leaders, finance stakeholders, and executives who need objective visibility for planning, benchmarking, capitalization reporting, and strategic decision-making. [Let's talk](/book-demo) ## Measuring the agentic workforce at fast-growing companies around the world - ![Perk](/assets/perk.DIhhlz_V.svg) - [![ClosedLoop](/assets/closedloop.LndNNhWa.svg)](/customers/closedloop) - [![Stord](/assets/stord.BXJiX-0z.svg)](/customers/stord) - ![Tuio](/assets/tuio.DIcICsWC.svg) - [![Persuit](/assets/persuit.qooajJ_O.svg)](/customers/persuit) - [![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)](/customers/seatcode) - [![Cubbo](/assets/cubbo.DrZVo-Jj.svg)](/customers/cubbo) - ![Elfie](/assets/elfie.CMU2D-DP.svg) - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) - ![ShopMy](/assets/shopmy.CzXp_cHg.svg) - ![iAhorro](/assets/iahorro.1UZLRwjC.svg) - ![Hum Capital](/assets/hum.DEUDy0_m.svg) - [![Exoticca](/assets/exoticca.PyF3BVAE.svg)](/customers/exoticca) - [![Zynap](/assets/zynap.Bwa6Rd5C.svg)](/customers/zynap) ## Don’t just take our word for it Effortless observability > “Pensero gives me daily peace of mind. I know exactly what the team is working on. The built-in reporting & analytics make team observability effortless, and the leaderboards give us the clarity we need for performance reviews and promotions decisions.” ![](/assets/jose-luis-vilar.CHgGZxJa_ZoczGk.webp)Jose-Luis VilarCo-Founder and CPTO, Caravelo Live in one day > “Pensero gives me a clear, non-engineer’s view of team productivity. It helps me spot champions who adopt new tools fastest and turn their practices into inspiration for the rest of the team. > > Rather than being a policing tool, it provides a data-driven foundation for bragging rights, better conversations, and benchmarking against peers worldwide. And the best part: it was truly plug-and-play — we were live in just one day.” ![](/assets/jean-francois-legourd.DBibnSA8_Z1kLG2n.webp)Jean-François LegourdCo-founder, Elfie Conversations backed by evidence > “Pensero offers a modern approach to performance management by providing real-time, actionable insights and continuous improvement. Its features are designed to enhance clarity, accountability, and productivity within teams. > > As a manager that helped me have honest and actionable feedback with my teams enabling them for growth.” ![](/assets/natxo-treig.Dh5pjaie_1lA7HF.webp)Natxo TreigSr. Engineering Manager, Perk From 70% to 30% maintenance > “15 engineers. $50M a year. We didn’t know exactly how our work was different from where we wanted to go. In one view, we can show engineers everything they did… and they learn a lot of insights. > > Now we went from 70% to 30% maintenance… it’s where we want it to be. It’s like the lighthouse of our engineering team.” ![](/assets/ignasi-vegas.DEfJ5-MR_Zmg2tg.webp)Ignasi VegasCo-founder and CEO, Cubbo Top 5% globally, verified > “I was being told we were slow to ship, but I didn't have any visibility as to why that was. Pensero is story points after the fact — we go 4x faster. > > Engineers love it because they get to brag: they can say they're in the top 5 percent globally, based on an independent third party. Pensero is why you want to work here.” ![](/assets/andrew-eye.BQqnuKla_1YTD2i.webp)Andrew EyeCEO and Founder, ClosedLoop ## Pensero proves engineering value and AI impact Objective visibility into every engineering contribution. - ### AI Transformation Track AI adoption, productivity impact, quality outcomes, and cost efficiency to prove the true business value of AI across engineering teams. [Learn more →](/platform/ai-intelligence) - ### Delivery Intelligence Provides real-time visibility into engineering output, delivery flow, and strategic alignment to ensure teams are shipping high-value work efficiently and without bottlenecks. [Learn more →](/platform/delivery-intelligence) - ### Talent & Benchmarking Uses objective performance data and industry benchmarks to evaluate teams, compare cohorts, and support better talent and leadership decisions. [Learn more →](/platform/talent-benchmarking) - ### Code Quality Measures code health, review effectiveness, defect trends, and technical debt to improve software quality and maintain strong engineering standards. [Learn more →](/platform/code-quality) - ### Financial Reporting Delivers finance-ready engineering reports that track CapEx, R&D capitalization, and project cost allocation for audit compliance and executive decision-making. [Learn more →](/platform/capex-analysis) Pensero Signals AI adoption AI intelligence AI-assisted Agents Engineering intelligence Work Quality Efficiency Reviews Company Contributors Benchmark Calibrate Settings Org settings Integrations Data health Help center MDMaria Diaz AI intelligence 512 Eng. + AgentsJul 28 – Oct 25 AI economicsContributorsAI budget Efficiency38% $1.42 $/point AI cost21% $255.6k in this period Compliance8pp 92% 471 of 512 Excess spend over budget7% $31.6k over the plan Delivery mix How work spreads across maturity levels 1-5: human-authored, AI-assisted and agents How much delivery lands at each agentic maturity level? 6,010 pts · 67% at level 4+ · 33% below JanMarAprMayJunJulAugSepOct - Human-authored - AI-assisted - AI-augmented review - Orchestrated agents - Autonomous agents How is delivery progressing across the agentic maturity levels? You're at level 4 of 5 · Orchestrated agents — Next: let agents ship low-risk PRs without a human (level 5) JanMarAprMayJunJulAugSepOct - Human-authored - AI-assisted - AI-augmented review - Orchestrated agents - Autonomous agents Efficiency & cost How efficiently we're using AI and what it costs How much does it cost to deliver a point? $1.42 per point JanMarAprMayJunJulAugSepOct What is our AI model usage costing? $5,870 in this period JanMarAprMayJunJulAugSepOct - AI-assisted cost - Agentic cost $/point distribution KTLO$2.86 Dev Productivity$2.12 Improvement$1.58 New Stuff$1.21 Other$0.94 Daily AI cost MonWedFri OctNovDecJanFebMarAprMayJunJulAugSep - No usage - Included in plan - Low - Moderate - High - Very high Adoption Who's using AI coding tools and who's using agents How many active devs are AI-assisted? 79.8% of active devs JanMarAprMayJunJulAugSepOct - AI-assisted devs - Agentic only - Not AI-assisted How many active developers are using agents? 46% of active devs JanMarAprMayJunJulAugSepOct - Agentic users - Non-agentic users Who's getting value? Distribution of AI efficiency across developers Cost per delivery point Cost efficiency ($/pt) Low delivery, High efficiency High delivery, High efficiency Low delivery, Low efficiency High delivery, Low efficiency MDJWLOOHSRDKEMLSPNNBAKTN Delivery ![Pensero AI intelligence page with example data: AI cost per point, AI cost, compliance and spend over budget, then weekly delivery by agentic maturity level, from human-authored work to autonomous agents, the cost per point, the daily AI cost, AI and agent adoption, and the cost efficiency of each person.](/assets/ai-intelligence-bottom.B0bvok0d_10kwoR.webp) Pensero integrations ## Go beyond code: understanding performance requires a 360° assessment Your entire delivery stack, translated into comparable signals. [Explore all integrations →](/integrations) - GitHub - GitLab - Bitbucket - Azure DevOps - GitHub Copilot - Cursor - Claude Code - Gemini Code Assist - OpenAI Codex - Devin - SonarQube - Jira - Linear - YouTrack - GitHub Projects - Confluence - Notion - Google Drive - Slack - Microsoft Teams - Google Chat - Google Calendar - Microsoft 365 Calendar - Okta ![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/devin.9dMB2Pvq.svg) ![](/assets/claude.DOlzKZ_u.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/github.DZev-bo2.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/github.DZev-bo2.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg) ![](/assets/linear.DOKK1qh1.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/okta.IyxOoTbF.svg) ![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg) ![](/assets/google-drive.D8knZIAZ.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/gitlab.NmSfLEo1.svg) ![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/jira.BAXK8NED.svg) ![](/assets/linear.DOKK1qh1.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/bitbucket.OVD1ZOhe.svg) ![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/github.DZev-bo2.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/github.DZev-bo2.svg) ![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg) ![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/github.DZev-bo2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/github.DZev-bo2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/cursor.D-OzolLt.svg) How it works ## Get started in minutes. See insights in hours. Connect your stack. See months of history from day one. 1. 1 hour ### Connect & Structure Integrates repositories, tickets and messages automatically so AI can break work into measurable units, giving your team a unified, transparent view of everything delivered. 2. 1 day ### Analyze & Detect Surface delivery vs roadmap gaps, AI contribution patterns, and execution insights so bottlenecks and early performance drag become visible through evidence-based reviews. 3. 1 week ### Report & Decide Establish a single source of execution truth with team-level and AI vs human performance comparisons, enabling board-ready reporting and confident, scalable capital decisions. ## Get months of engineering performance data now Stop deciding on gut feel. Get 90 days of objective data in minutes. [Let's talk](/book-demo) © 2026 Platform - [Agentic ROI](/platform/agentic-roi) - [AI Deployment](/platform/ai-intelligence) - [Delivery Intelligence](/platform/delivery-intelligence) - [Talent & Benchmarking](/platform/talent-benchmarking) - [Code Quality](/platform/code-quality) - [CapEx Analysis](/platform/capex-analysis) - [Pensero MCP](/platform/mcp)New Use cases - [CEOs](/use-cases/roles-ceo) - [CTOs](/use-cases/roles-cto) - [CFOs](/use-cases/roles-cfo) - [Product Leaders](/use-cases/roles-product-leaders) - [Engineering Managers](/use-cases/roles-engineering-managers) - [Investors](/use-cases/roles-investors) - [Compare Pensero](/use-cases/competitors-dx) Company - [Careers](/careers) - [Blog](/blog) - [LinkedIn](https://www.linkedin.com/company/penseroai/) - [Support](/support) - [Other resources](/blog/other-resources) - [Glossary](/glossary) Offices - [Barcelona](https://maps.app.goo.gl/6pfxKiKFNKzLPPnB6) - [Madrid](https://maps.app.goo.gl/jEpYBUR4E6AqZs4R6) - [New York](https://maps.app.goo.gl/szk58Jf2MBq14MgAA) - San FranciscoSoon Legal - [Privacy policy](/privacy-policy) - [Cookie policy](/cookie-policy) - [Terms of service](/terms) - [DPA](/dpa) - [Security](https://pensero.trust.site)