Pensero vs. Haystack[Skip to content](#main) [Pensero](/) [Book a demo](/book-demo) ![](/assets/hero-dashboard.DgLYay_w_2kNOfc.avif) Head-to-Head # Pensero vs Haystack Same problem. Different approach. Haystack measures activity while Pensero focuses on understanding the complexity and magnitude of the problem behind your code. [Let's talk](/book-demo) How do they differ? ## Haystack and Pensero solve adjacent but fundamentally different problems. **Pensero** gives leaders **objective visibility** into how engineering teams actually perform so they can make **high-stakes decisions** with confidence. Pensero andHaystack, feature by feature | Feature | Pensero | Haystack | | --- | --- | --- | | AI adoption and usage tracking | Yes | No | | 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 benchmarks | Yes | No | | Recommendations on what to do next | Yes | No | | Level on the five levels, measured from delivery data | Yes | No | | Forward-deployed engineers and transformation programme | Yes | No | What does Pensero measure that Haystack does not emphasize? Pensero emphasizes complexity-aware output, objective productivity measurement, AI performance impact, and benchmarking depth. Haystack is a DORA-first tool built around activity and workflow visibility — cycle time, PR flow, deployment tracking. Pensero sits a layer up: decision-ready performance intelligence rather than pipeline diagnostics. Is Pensero useful if we already track developer activity? Yes, and it matters more now than ever. Activity alone doesn't explain delivery value or execution quality, and AI coding tools have made that gap wider: commit Can Pensero support leadership-level reporting? Yes. Pensero is designed for leadership insights, team benchmarking, and calibration workflows that support high-stakes staffing, planning, and performance decisions. How does Pensero approach AI measurement? Pensero treats AI as a measurable delivery lever, tracking adoption and its downstream effect on output and quality. This enables practical AI governance beyond basic usage dashboards. Does Pensero help compare teams fairly? Yes. Pensero uses comparable, objective signals and complexity-aware framing to improve fairness in team and individual evaluations. How fast can a team go live with Pensero? Teams generally connect their stack quickly, get first insights within hours, and build operational reporting in days. The rollout is designed to be lightweight and fast. [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 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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. 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