Product Manager
Product Management Framework β From User Research to Roadmap
Key Takeaway
The Product Management skill applies structured frameworks β Jobs-to-be-Done, RICE scoring, opportunity solution trees, user story mapping β to turn messy ideas into prioritized, buildable product plans. Your agent thinks like a senior PM.
The Problem
Product decisions in most startups:
- Feature requests come from: loudest customer, CEO's shower thought, competitor copied it, sales team promised it
- Prioritization method: whoever shouts loudest / most recent request / "gut feel"
- User research: "We talked to 3 customers" (who were already happy with the product)
- Roadmap: A list of features with no strategic logic connecting them
- Success metrics: "We'll know it when we see it"
The result: building features nobody asked for, while the #1 customer request sits in the backlog for 18 months.
The Solution
The Product Management skill applies proven PM frameworks to bring structure to chaos β from discovery through prioritization to roadmap construction.
The Process
View details
You: We're a B2B project management tool (like Asana/Linear).
We have 15 feature requests from customers, 8 ideas from
the team, and no clear priority. Help me build a roadmap
for next quarter.
The agent runs through a structured process:
Step 1: RICE Scoring Every feature scored on Reach, Impact, Confidence, Effort:
| Feature | Reach | Impact | Confidence | Effort | RICE Score |
|---|---|---|---|---|---|
| Time tracking integration | 800 users | 3 (high) | 80% | 3 person-months | 640 |
| Custom workflows | 500 users | 3 | 70% | 5 person-months | 210 |
| Mobile app | 1200 users | 2 | 50% | 8 person-months | 150 |
| AI task suggestions | 300 users | 2 | 40% | 4 person-months | 60 |
Step 2: Strategic Alignment Map each feature against company goals:
- Retention play vs. acquisition play vs. expansion play
- Which ICP segment benefits most?
- Does it create a moat or is it table stakes?
Step 3: Quarter Roadmap
View details
## Q2 2026 Roadmap
### Theme: "Reduce friction for power users"
MONTH 1: Time Tracking (RICE: 640)
- Why: #1 requested feature, high retention impact
- Scope: Toggl + Clockify integrations, native timer
- Success metric: 40% adoption within 60 days
MONTH 2: Custom Workflows (RICE: 210)
- Why: Enterprise upsell enabler, reduces churn for
teams with complex processes
- Scope: 5 workflow templates + custom builder
- Success metric: 3 enterprise conversions
MONTH 3: API v2 + Webhooks
- Why: Platform play β enables ecosystem
- Scope: RESTful API, webhook system, 3 sample integrations
- Success metric: 10 third-party integrations within 90 days
### EXPLICITLY NOT DOING:
- Mobile app: High reach but low confidence. Validate
demand with a PWA first (1 week effort vs 8 months).
- AI suggestions: Cool but low confidence score.
Wait for more user research data.
The Results
| Metric | "Gut Feel" PM | Framework-Driven PM |
|---|---|---|
| Prioritization method | Loudest voice | RICE + strategic alignment |
| Features shipped that users want | ~40% | ~80% |
| Stakeholder alignment | Constant arguments | Data-backed decisions |
| Roadmap changes | Every sprint | Quarterly (with data) |
| Success metrics | Defined after launch | Defined before build |
| Time to roadmap | 2 weeks of meetings | 2 hours |
Setup on MrChief
yamlShow code
skills:
- product-management
- data-analysis
- testing # For experiment design
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