Examples
End-to-end walkthrough of researching a product problem using the Double Diamond methodology.
Scenario: Researching User Onboarding Friction
You're a product manager at a B2B SaaS company. Trial-to-paid conversion is 8% (industry benchmark is 15-25%). You suspect onboarding is the bottleneck but need evidence before investing in a redesign.
Phase 1: Discover
/research:discover user onboarding frictionCasts a wide net across the problem space. Searches for industry research on SaaS onboarding, analyzes competitor onboarding flows, reviews user forum complaints, and maps stakeholder perspectives.
Sample output snippet:
Key theme: Users who don't reach the "aha moment" within 3 sessions churn at 4x the rate. Competitor analysis shows top performers use guided checklists (Notion, Linear) or interactive tutorials (Figma, Canva). Surprise finding: Support tickets reveal users don't understand the difference between "workspaces" and "projects" — a naming problem, not a feature problem.
Phase 2: Define
/research:define user onboarding frictionSynthesizes findings into a focused problem statement and research plan.
Sample output snippet:
Problem Statement: New trial users cannot discover the product's core value within their first session because the onboarding flow assumes domain knowledge they don't have, resulting in 62% abandonment before completing setup. HMW Questions:
- How might we get users to their first meaningful outcome in under 5 minutes?
- How might we reduce the cognitive load of initial setup without removing necessary configuration?
- How might we personalize onboarding based on the user's role and goals?
Phase 3: Design
/research:design user onboarding frictionGenerates multiple solution concepts and evaluates them.
Sample output snippet:
Concept A: Role-based onboarding wizard — Ask 3 questions at signup, tailor the first experience. Feasibility: High. Impact: High. Concept B: Interactive product tour — Guided walkthrough of key features with sample data. Feasibility: Medium. Impact: Medium. Concept C: Template-first onboarding (Recommended) — Start users with a pre-built template matching their use case. Skip empty states entirely. Feasibility: High. Impact: Very High.
Phase 4: Deliver
/research:deliver user onboarding frictionValidates the top recommendation with evidence and produces actionable output.
Sample output snippet:
Recommendation: Template-first onboarding. Evidence: Notion's template gallery increased activation by 40%. Our data shows users who import data in session 1 convert at 3x the rate. Action items:
- Create 5 templates for top use cases (by product team, 2 weeks)
- Redesign signup flow to select template before workspace setup (by engineering, 1 sprint)
- Add "time to first value" metric to analytics dashboard (by data team, 3 days)
What You End Up With
.metapowers/research/user-onboarding-friction/
01-discover.md ← Industry research, competitor analysis, user insights
02-define.md ← Problem statement, HMW questions, success criteria
03-design.md ← 3 solution concepts with evaluation matrix
04-deliver.md ← Validated recommendation with action itemsA research-backed recommendation with specific action items — ready to hand off to product and engineering.