Practical guidance, tools, and templates for running fast prototypes, experiments, and minimum viable offerings that validate value and reduce risk.
A hands-on playbook for designing and running fast, low-cost prototypes and MVP experiments that validate customer and operational value. Includes decision tools for choosing fidelity, sprint plans for 1–4 week builds, measurement templates, a demo script, user-test checklist, and a lightweight evaluation rubric to decide go/no-go.
An interactive, scored rubric to evaluate prototypes against criteria such as learning rate, required fidelity, build cost, deployment risk, and customer reaction. Collects structured evaluations, stores results, and provides clear, practical guidance for deciding whether to iterate, pivot, scale, or retire a prototype.
A practical decision matrix and facilitation script that helps teams pick the simplest prototype fidelity (paper, mock, interactive, code, or production-like sandbox) that will produce the learning and evidence you need while minimizing cost, time, and risk.