Continuous Discovery
Habits for continuous product discovery
Build continuous discovery habits into your product team using Teresa Torres's structured approach. This skill equips your AI agent with opportunity solution trees, interview techniques, and assumption testing methods that keep product decisions grounded in customer evidence.
Continuous Discovery Habits
npx skills add wondelai/skills/continuous-discovery What your agent learns
Opportunity Solution Trees
Map the path from desired outcome to opportunities to solutions to experiments — visualize your entire discovery process.
Weekly Customer Interviews
Talk to customers every week, not just during research sprints. Build continuous feedback into your team's rhythm.
Assumption Mapping
Identify desirability, viability, feasibility, and usability assumptions. Test the riskiest ones first.
Compare & Contrast
Always generate at least three solutions before picking one — comparison leads to better decisions than evaluation.
Small Experiments
Test assumptions with the smallest possible experiment — prototype tests, one-door/two-door decisions, and concierge tests.
Try these with the skill installed
Build an opportunity solution tree for our user onboarding outcome using continuous-discovery skill
Product discoveryCreate an interview guide for understanding our users' biggest pain points using continuous-discovery skill
Customer researchMap and prioritize assumptions for this new feature idea using continuous-discovery skill
Assumption testingDesign three different solutions for this opportunity and help me compare them using continuous-discovery skill
Solution designInstall Continuous Discovery
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npx skills add wondelai/skills/continuous-discovery MIT Licensed · Works with Claude Code, Cursor, Claude Cowork & OpenClaw · No account needed
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