continuous-discoverylisted
Install: claude install-skill deciqAI/knowledge-skills
# Continuous Discovery — Weekly Contact, Opportunity Trees
## Overview
Continuous discovery (Teresa Torres, *Continuous Discovery Habits*, 2021) replaces one-off research with a **weekly cadence of customer touchpoints by the team building the product**, structured around an **opportunity solution tree**: one outcome → the opportunities (unmet needs) that drive it → competing solutions → assumption tests. It keeps roadmaps anchored to real needs instead of the loudest stakeholder.
## When to Use
- A product with users but no steady learning loop
- Roadmap fights decided by seniority, not evidence
- Turning a fuzzy outcome (e.g. "increase activation") into shippable bets
## The Process
1. **Pick one clear outcome** (a behavior/metric, not a feature). *Gate: if the target is a feature, back up to the outcome it serves.*
2. **Interview weekly** — the trio (PM/design/eng), small and continuous, not a quarterly study.
3. **Map opportunities** as a tree under the outcome; keep them as customer needs, not solutions in disguise.
4. **Diverge on solutions** per opportunity (≥3), then converge.
5. **Test the riskiest assumption cheaply** before building (desirability, viability, feasibility, usability).
6. **Prune to the next bet.** *Gate: no assumption test run = you're shipping opinion → stop and test.*
## Applying It Well
- Automate recruiting so weekly interviews actually happen (the habit dies on scheduling friction).
- One opportunity tree per outcome; don't boil the ocean.
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