Same prioritization data. Four different workflows.
Tuesday you saw the code. Today you see how real team members actually use it. Each role has different needs, different dashboards, different wins.
Team Workflows
See how different roles use the same system to transform their daily work.Click each role below
Before Automation
With Automation
Workflow Process
Impact By The Numbers
"I finally have time to talk to customers instead of updating spreadsheets."
— PM Lead, 6 years B2B SaaS
How Roles Work Together on One Decision
Watch how all four roles collaborate on prioritizing a complex enterprise feature. Same data flows through different lenses.
Real-time collaboration on high-stakes feature: Multi-tenant permissions system
✨ Scroll here to watch the workflow
Team-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Time to prioritize 40 features | 26 hours (spread across team) | 3.5 hours (mostly AI) | 87% faster |
| Stakeholder alignment time | 2-3 weeks (meetings, follow-ups) | 18 minutes (async + AI) | 99% faster |
| Framework consistency | 60% (manual scoring varies) | 100% (AI never deviates) | 40 point increase |
| Features shipped per quarter | 12-15 (team capacity limit) | 28-32 (prioritization bottleneck gone) | 2.2x throughput |
Getting Your Team On Board
PMs think AI will replace their judgment
Show that AI scores features, but PM makes final call. It's a calculator, not a decision-maker. Run parallel for 2 weeks: manual vs AI. PMs see AI catches nuances they missed (like usage data they didn't have time to pull).
PMs realize AI gives them superpowers, not replaces them. They make better decisions faster.
Analysts worried their role becomes obsolete
Reframe: 'You're moving from data janitor to strategic advisor.' Show time saved: 10 hours/week freed up for deep-dive analyses that actually influence strategy. Analysts go from pulling data to interpreting insights.
Analysts become more valuable, not less. They finally have time for the work they were hired to do.
Ops lead thinks automation means more work upfront
Calculate setup time: 4 hours to configure forms and integrations. Show ongoing savings: 6 hours/week → 30 min/week. Payback in week 1. Plus, stakeholders stop complaining about 'another survey.'
Ops lead becomes hero for eliminating meeting overload. Stakeholders love async input.
Engineering skeptical of AI-generated effort estimates
AI doesn't estimate effort—engineers do (via form). AI just aggregates and flags conflicts. Show transparency: every score links back to who submitted it and why. Engineers see their input is respected, not overridden.
Engineering trusts the process because they control their input. Conflicts surface early, not in sprint planning.
Executive worried about losing control of roadmap
Show audit trail: every decision tracked, every stakeholder input logged, every conflict resolution documented. Execs get more visibility, not less. Plus, AI flags when decisions contradict company strategy (based on OKRs you configure).
Execs love the transparency. Finally see why features were prioritized (or deprioritized).
Investment & ROI
Typical payback in 2-3 weeks through time savings
Pricing
ROI Calculator
Proven Results
From Demo to Live in 3 Weeks
From demo to production in just 3 weeks
Enterprise deployments may take 4-6 weeks for custom integrations and approval workflows
2026 Randeep Bhatia. All Rights Reserved.
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