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pilot-design

Design edtech pilot plans with timelines, metrics, MOU templates, and IRB guidance.

1|Updated Mar 31, 2026
Search Tags:#evaluation#evidence#edtech#irb#ai-metrics#pilot design#mou
One-click install
npx skills add https://github.com/savvides/edtechfounderstack --skill pilot-design
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: pilot-design
Source: https://github.com/savvides/edtechfounderstack/tree/main/skills/pilot-design
Command: npx skills add https://github.com/savvides/edtechfounderstack --skill pilot-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many early-stage edtech founders run pilots that produce anecdote and usage metrics but not the credible evidence buyers, funders, or researchers require; this Skill translates founder goals and institutional constraints into a structured pilot that yields actionable outcomes and publishable-quality results.

Core Features & Use Cases

  • Contextual intake and posture detection: Asks targeted, one-at-a-time questions to determine institution type, pilot goals, current evidence tier, resources, timeline, and AI centrality.
  • End-to-end pilot plan: Produces a week-by-week timeline, participant selection criteria, data collection plan, comparison approach, success metrics, and risk mitigations tailored to 4–16 week pilots.
  • Operational artifacts: Generates a customized MOU template and IRB guidance and, when relevant, AI-specific pilot metrics (accuracy, hallucination rate, trust calibration).
  • Use Case: Founders running a mid-semester university pilot can get a full protocol, IRB checklist, and MOU ready to share with institutional partners within one session.

Quick Start

Design a focused 8–12 week pilot that measures your single primary learning outcome, includes a matched comparison approach, and provides an MOU and IRB checklist for your institution.

Frequently Asked Questions about pilot-design

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

FAQPage Schema
How do I design an edtech pilot that produces publishable evidence?β–Ό

To design an edtech pilot that produces publishable evidence, define a specific primary learning outcome, establish a matched comparison approach, and structure a 4–16 week timeline with rigorous data collection and success metrics.

What is an MOU template and do I need IRB guidance for a school district pilot?β–Ό

An MOU template formalizes the operational agreement with the institution, while IRB guidance ensures ethical compliance for human subjects. Both are essential for a school district pilot to yield credible, publishable-quality research evidence.

How do I measure AI-specific metrics like hallucination rate during an educational pilot?β–Ό

Measuring AI-specific metrics during an educational pilot involves tracking accuracy, hallucination rate, and trust calibration. You must integrate these AI metrics into your data collection plan alongside traditional learning outcomes.

Can I run a mid-semester university pilot without a matched comparison approach?β–Ό

You can run a university pilot without a matched comparison approach, but it will only yield anecdotal usage metrics. Generating actionable evidence for buyers and funders requires specifying a comparison group.

What's the best way to structure a 4–16 week edtech pilot timeline?β–Ό

The best way to structure a 4–16 week edtech pilot timeline is to break it down week-by-week, explicitly scheduling participant selection, data collection intervals, comparison assessments, and risk mitigations to ensure rigorous evidence generation.

Why do edtech founders get anecdotal results instead of rigorous evidence from pilots?β–Ό

Edtech founders get anecdotal results instead of rigorous evidence because they often lack a structured pilot design. Without defined success metrics, IRB guidance, and a comparison approach, pilots fail to produce actionable outcomes.

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