metodologia-hypothesis-driven-development

What problem does it solve?

Hypothesis-Driven Development (HDD) formalizes uncertainty into testable bets, enabling enterprise teams to convert scenarios into measurable hypotheses, design minimal experiments, and make data-driven go/no-go decisions under risk and governance constraints.

Core Features & Use Cases

• Convert scenarios into complete hypotheses with belief, metric, experiment, thresholds, and decision criteria.
• Design minimal, actionable experiments (spikes/PoCs/MVPs) with defined duration, resources, and success criteria.
• Map hypotheses to Build-Measure-Learn cycles and explicit decision gates (kill/pivot/persevere) for portfolio management.
• Integrate HDD outputs with discovery roadmaps, governance, and related knowledge assets (OST, EBM, fitness functions).
• Provide robust templates and quality checks (SMART, minimality, calibration, risk controls) to improve hypothesis quality and execution discipline.

Quick Start

Generate 3–7 testable HDD hypotheses from the recommended scenario, each with a belief, measurable metric, minimal experiment, clear thresholds, and decision criteria.