hypothesis-tracker

What problem does it solve?

This Skill helps founders and operators manage a small, high-quality set of business hypotheses so they can make faster keep, kill, or reframe decisions instead of juggling too many experiments.

Core Features & Use Cases

• Hypothesis lifecycle management: create, update, rank, and kill hypotheses in a structured format.
• WIP control and decision hygiene: enforce a maximum of three active hypotheses and two concurrent experiments so progress stays focused.
• Evidence-based readouts: apply signal tiers, ELV scoring, and relay-race checks to decide early when evidence is already sufficient.
• Use case: A founder uses it to track messaging, pricing, and growth tests across a startup without losing the thread on what to do next.

Quick Start

Tell the assistant to add a new hypothesis for your current startup experiment and include the ICP, change, metric, baseline, target, deadline, and evidence so it can track and rank it correctly.