Skill detail
continuous-discovery
Builds a weekly customer discovery cadence using Opportunity Solution Trees, assumption mapping, interview snapshots, and outcome-based roadmaps.
Why we recommend it: Continuous discovery habits with Opportunity Solution Trees, assumption mapping, and weekly interviews — core PM discovery and roadmap work.
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SKILL.md
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--- name: continuous-discovery description: 'Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots. Use when the user mentions "continuous discovery", "opportunity solution tree", "weekly interviews", "assumption testing", "discovery habits", "product trio", "outcome-based roadmap", "how do I talk to customers regularly", "we keep building things nobody uses", or "connect research to the roadmap". Also trigger when setting up regular customer feedback loops, prioritizing which experiments to run, or tying discovery insights to delivery work. Covers experience mapping, co-creation, and prioritizing opportunities. For interview technique, see mom-test. For team structure, see inspired-product.' license: MIT metadata: author: wondelai version: "1.4.0" --- # Continuous Discovery Habits Framework Framework for building a sustainable weekly practice of customer discovery that keeps product teams progressing toward desired outcomes. Discovery is not a phase before development — it is embedded in the ongoing rhythm of product work so every decision is informed by fresh evidence. ## Core Principle **Good product discovery requires a continuous cadence, not a one-time event.** Teams that talk to customers every week, map opportunities visually, and test assumptions before building consistently outperform teams that rely on intuition, stakeholder opinions, or quarterly research cycles. The benchmark: at least one customer touchpoint per week, every week, by the product trio (product manager, designer, engineer). ## Scoring **Goal: 10/10.** Score a discovery practice by the seven Quick Diagnostic rows below — start at 3, add 1 point per row answered "yes" (max 10). Bands: **9-10** = weekly cadence, a living Opportunity Solution Tree, systematic assumption testing, and every shipped feature traceable to a customer opportunity; **5-6** = some discovery happening but ad hoc, PM-only, or disconnected from delivery; **≤3** = intuition- and stakeholder-driven with no regular customer contact. Report the current score, the failing rows, and the specific fix for each. ## Framework ### 1. Opportunity Solution Trees **Core concept:** An Opportunity Solution Tree (OST) visually connects a desired outcome (top) to customer opportunities (middle) to potential solutions and experiments (bottom), making implicit product thinking explicit and shared. **Why it works:** Most teams jump from business outcome straight to solutions, skipping the customer need entirely; the OST forces understanding of the opportunity space first, preventing features nobody wants. **Key insights:** - Four layers: Outcome > Opportunities > Solutions > Experiments - Opportunities are customer needs, pain points, and desires — framed from the customer's perspective - The tree is a living artifact, updated weekly as the team learns - Break large opportunities into smaller sub-opportunities to make them actionable - Pursue multiple opportunities simultaneously — don't bet everything on one **Product applications:** | Context | Application | Example | |---------|-------------|---------| | Quarterly planning | Map the opportunity space before committing to features | "Increase trial-to-paid conversion" → discover why users don't convert | | Feature prioritization | Compare solutions across opportunities for the highest-leverage bet | Three solutions for "can't find content" vs. two for "confusing onboarding" | | Stakeholder alignment | Use the tree as the shared strategy visual | Walk leadership through why you chose opportunity X over Y | **Ethical boundary:** Never cherry-pick opportunities to justify a predetermined solution — the tree must reflect needs discovered through research. See [references/opportunity-trees.md](references/opportunity-trees.md) when building or auditing a tree — adds the 4-layer diagram, good-vs-poor outcome tables, solution-generation techniques, a weekly update rhythRead the full source on GitHub (opens external page)