Same feedback. Four different workflows.
Tuesday you saw the code. Today you see how PMs, researchers, engineers, and CS teams each use it. Different views, different priorities, same goal: ship what matters.
Team Workflows
Product Manager
4 hours → 20 min per sprint
Before
After
"I finally have data to back up my gut. No more guessing what customers want."
— Product Lead, 6 years B2B SaaS
How Roles Work Together on One Feature Request
Watch how the same feedback flows through four different workflows to become a shipped feature.
Real example: 'Export to CSV' requested 127 times across support, sales, and user interviews
From customer request to shipped feature in 9 days. Before automation: 6 months (if ever).
Team-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Sprint Planning Time | 4 hours (debate and guesswork) | 45 min (data-driven decisions) | 81% faster |
| Feature Adoption Rate | 45% (built wrong things) | 82% (built right things) | 82% higher |
| Time to Ship Request | 6 months average | 9 days average | 95% faster |
| Customer Churn | 18% annual | 14% annual (6 months in) | 22% reduction |
Getting Your Team On Board
PMs think AI will replace their judgment
Show priority matrix with AI scores vs PM gut feel. AI caught 3 high-impact features PM missed. Frame as 'better data for your decisions.'
PMs use AI scores as starting point, override when needed. Trust builds through accuracy.
UX researchers worry about losing qualitative depth
Run parallel: manual coding vs AI on same 5 interviews. AI found 8 themes, manual found 6. AI caught edge cases researcher missed at 1am.
Researchers use AI for first pass, dive deep on surprising patterns. Quality improves.
Engineers skeptical of 'AI-generated requirements'
Show them the data: feature requests with 100+ user quotes vs vague PM hunches. Ask which they'd rather build.
Engineers love having clear requirements. Fewer mid-sprint scope changes.
CS worried about losing personal touch
Calculate time saved on logging (2 hrs/day). Ask what they'd do with 10 extra hours/week. Show churn reduction data.
CS spends saved time on high-touch customer calls. Relationships improve, not decline.
Leadership concerned about upfront cost
ROI calc: 4 roles × 8 hours saved/week × $75/hr = $9,600/month saved. Tool costs $500/month. 19x ROI.
Payback in 2 weeks. Decision becomes obvious when framed as cost savings.