continuous-product-discovery

Reduces customer, solution, and viability uncertainty through evidence-backed product discovery decisions.

Updated Aug 22, 2026
One-click install
npx skills add https://github.com/fritzgeraldz/Vibe-Managing --skill continuous-product-discovery-fritzgeraldz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: continuous-product-discovery
Source: https://github.com/fritzgeraldz/Vibe-Managing/tree/main/skills/product/continuous-product-discovery
Command: npx skills add https://github.com/fritzgeraldz/Vibe-Managing --skill continuous-product-discovery-fritzgeraldz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Founders often commit significant resources to product ideas before validating whether customers actually want them, whether the solution is usable and feasible, and whether the business model is viable. This Skill structures continuous product discovery so uncertainty is burned down with cheap tests before large commitments are made. ## Core Features & Use Cases - Opportunity Mapping: Maps desired outcomes to customer opportunities with evidence, confidence scores, and decision implications. - Assumption Testing: Prioritizes the assumptions driving the most outcome variance and designs the cheapest decision-relevant tests. - Risk-Adjusted Decisioning: Ranks options by constraint compliance, confidence-weighted value, time-to-value, and reversibility, with escalation rules for regulated or high-stakes decisions. - Use Case: A founder asks whether to build a new feature. The agent loads company context, industry profile, and the business digital twin, compares at least three feasible options against the counterfactual, and recommends the highest confidence-weighted option with a monitoring plan and stop conditions. ## Quick Start Use continuous product discovery to evaluate whether we should invest in this new feature idea given our cash and capacity limits.

Frequently Asked Questions about continuous-product-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run continuous product discovery before committing to a feature?▼

Load company context, goals, metrics, and the digital twin, then map outcomes to opportunities, prioritize the highest-variance assumptions, and test them cheaply. The skill ranks options by risk-adjusted value and recommends the smallest action portfolio that passes all hard constraints.

What is risk-adjusted value in product discovery decisions?▼

Risk-adjusted value equals probability of success times expected incremental value, minus implementation cost and expected downside loss. The skill further multiplies this by evidence confidence to produce a confidence-weighted value for ranking options.

When should I not use continuous product discovery?▼

Do not use it before benchmark-calibration establishes comparability, for legal, tax, clinical, or safety determinations requiring licensed specialists, or during an active emergency where an incident or crisis workflow takes command first.

What inputs does a product discovery decision require?▼

It requires the founder intent, decision horizon, a measurable objective with baseline and target, hard constraints, current state, options, evidence with confidence scores, industry and business model profiles, stage, maturity, jurisdictions, and delegated authority limits.

Which actions need human approval in product discovery?▼

Approval is required for money movement, binding commitments, external communication, pricing changes, customer-impacting changes, production or safety changes, employment actions, personal-data use, and anything above budget or risk limits.