Measure · Track · Improve
Ship decisions faster without quality debt.
Instrument executive briefs, experiment canvases, and stakeholder narratives so every AI claim is backed by manual vs. AI evidence.
Pain points
Where time keeps slipping
- Rework loops after exec reviews when AI-boosted claims lack proof.
- Verification fatigue from chasing screenshots, prompt logs, and messy notes.
- Unclear ROI when experiments mix throughput, hallucinations, and compliance risk.
How we help you ship faster
How we help
- Baseline literacy and run the Innovation PM pack twice to see real AI lift.
- Coach Overestimation Δ with Fair Trial guardrails before you brief leadership.
- Use micro-TLX pulses to keep discovery, experiment, and readout weeks humane.
Performance Expectations
Understand when AI tools accelerate your work and when they might slow you down
Expect lift when...
- Clear requirements with structured templates→ Prompt guide
- Repetitive analysis tasks with consistent patterns→ PM patterns
Expect drag when...
- Ambiguous stakeholder narratives needing nuance→ Overestimation guide
- Creative brainstorming without clear constraints→ Ethics checklist
How to measure: Lift is real when time-to-passed-review improves and TLX doesn't spike. Learn about validity
Try this first
Innovation PM Sprint Pack
Three tasks (brief → canvas → exec narrative) run twice to capture Overestimation Δ, TLX, and evidence quality before leadership reviews.
Resource playlist
Apply these next
Guide
Mastering Prompt Engineering: A Complete Guide
Structure prompts with intent → context → critique loops so PM narratives stay auditable.
Open resource →Playbook
Avoiding AI Overestimation: The Reverse Dunning-Kruger Effect
Spot when confident storytellers outrun the scored output and reset expectations early.
Open resource →Checklist
Building AI Ethics into Your Workflow
Thread ethics checkpoints through Fair Trial templates so scaling plans stay unblocked.
Open resource →
Innovation PM FAQ
Questions teams ask first
How is our data handled? Is it private?+
Analyzer runs stay in your Supabase project space. We log timing, TLX, and Overestimation Δ—never raw prompt content. Need to purge? Admins can delete any run in seconds.
What makes the benchmarks credible?+
Every task captures manual vs. AI timing plus scored quality. We normalize deltas across cohorts and show where Cronbach’s α holds so you know when variance is acceptable.
Can I compare “with vs. without AI” for exec updates?+
Yes. Each pack forces two attempts and stores the lift, TLX, and confidence notes. Export the tiles to show execs why you’re scaling—or pausing—an initiative.
Bring proof to every stand-up and exec review.
Measure manual vs. AI runs, trend TLX, and drop Overestimation Δ tiles into your docs so the team trusts every recommendation.