Specific Investment Questions That Keep You Up at Night
"Is our $200K Copilot investment actually making us faster?"
You see usage stats and acceptance rates. But cycle time 'improvements' could be from new hires, process changes, or seasonal patterns. You need causal proof, not correlation.
"Did our $500K platform team increase overall productivity?"
Developer satisfaction scores look good. Deploy frequency is up. But did we gain net capacity, or just shift work around? Your board wants ROI numbers you can defend.
"Should we renew DataDog at the new price point?"
Incidents are down, MTTR improved. But was it the monitoring investment, the new SRE hire, or just fewer releases? You need attribution that withstands CFO scrutiny.
Why We're Different: The Honesty Advantage
Other tools tell you productivity increased 23%. We tell you it increased 15-25% with moderate confidence—and here are 3 confounders that could explain it.
Other Engineering Intelligence Tools
Activity metrics ≠ causal proof. Dashboards show what happened, not why.
CausalOps: Statistical Rigor with Honest Uncertainty
We're not another engineering dashboard. We're the proof layer.
What CausalOps Reports Actually Look Like
Honest attribution with confidence intervals—the proof your board actually wants to see.
Built by an Engineering Leader Who Lived This Problem
"I spent a decade as an agile coach helping teams get faster. But I could never PROVE the improvements were from our changes vs. external factors. So I went back to school for causal inference and built the attribution engine I always wished I had."
David Nielsen • Former Engineering Coach • 10 years helping teams optimize • Tired of correlation masquerading as proof
ROI Analysis for Your Biggest Engineering Bets
Start with AI tools, expand to platform and reliability investments.
AI Tool ROI Analysis
Prove your $200K Copilot investment is working
Statistical analysis of coding velocity, quality impact, and developer satisfaction. Get board-ready ROI estimates with confidence intervals.
Start AnalysisKey Metrics
- Cycle time reduction
- Code quality impact
- Developer satisfaction
- Usage patterns vs. outcomes
Platform Engineering ROI
Justify your developer platform team's headcount
Measure productivity gains from internal tools, infrastructure, and developer experience improvements.
Analysis Includes
- Developer velocity
- Tool adoption
- Support burden
- Cross-team efficiency
Reliability Investment ROI
Show your $500K observability spend reduced incidents
Prove that monitoring, alerting, and SRE investments actually prevent costly outages.
Analysis Includes
- Incident frequency
- MTTR reduction
- Prevention costs
- Customer impact
How We Generate Statistical Proof
Research-grade causal inference applied to engineering metrics.
Establish Baselines
Capture engineering metrics before your investment. Create statistical baselines that account for trends and seasonality.
Track Interventions
Log exactly when tools were deployed, teams were formed, or processes changed. Precise timestamps enable before/after analysis.
Control for Confounders
Identify and adjust for team changes, product releases, and external factors that could explain metric improvements.
Quantify Uncertainty
Generate confidence intervals and flag assumptions. Report honest uncertainty instead of false precision.
Stop Reporting Activity. Start Proving ROI.
Join engineering leaders who are building evidence-based investment decisions. Get statistical proof your engineering investments actually work.