Template

Pilot Planning & Results Report Template

A concise, fillable template teams can use to plan pilots, capture baseline and post-run measures, analyse variance, and propose clear scale criteria and required investments.

Interactive Tool

Pilot Planning & Results Report

Use this template to plan a pilot so it produces credible evidence, clear evaluation, and actionable next steps (scale, adapt, or stop). Fill fields with as much specific detail as you can. Where numeric measurement is used, include units and how measurements were taken. After submission, your responses will be stored for organizational learning and comparison.

Give the pilot a concise name that includes the process, location, or team (e.g., 'Line 3 Reduce Changeover Pilot').
Person accountable for running the pilot and submitting results. Include role and contact info.
YYYY-MM-DD or approximate date range.
YYYY-MM-DD or approximate date range.
State a clear, testable hypothesis such as 'Standardized setup will reduce changeover time by at least 20% for product family A.'
List 2–4 specific objectives and how they link to business outcomes (safety, quality, delivery, cost, morale).
Define boundaries (locations, lines, shifts, SKUs, excluded areas). Clear scope prevents overgeneralization.
Describe sample size, selection rules, randomization, and any stratification (e.g., shifts A/B/C). Explain why the sample will produce representative evidence.
E.g., 'Changeover time (minutes)', 'Defect rate (% per 1,000)', 'Throughput (units/hour)'.
Be explicit: calculation formula, sampling frequency, instruments or data sources, and who collects it.
Enter numeric baseline and the date/time range used to compute it. Include sample size if relevant.
Enter the measured value from the pilot period using the same definition and sampling approach.
Examples: safety incidents, first-pass yield, customer complaints, operator workload, cycle time variability. Note collection methods.
Include setup, roles, data collection steps, decision points, escalation path, and approximate timing for each step.
Name(s), tools, spreadsheets, or system locations. This helps later verification and reuse.
E.g., simple before/after comparison, t-test, control charts, A/B comparison, normalized per unit. Note assumptions and statistical confidence thresholds where appropriate.
Explain why results changed or didn't. Consider common-cause vs special-cause, context shifts, sample anomalies, and unexpected effects. Attach or link detailed calculations if available.
Choose the recommended action based on evidence and risk.
If recommending scale, list required conditions and measurable thresholds (e.g., '>=15% reduction in changeover with p<0.05; operator acceptance score >=4/5; no increase in defect rate').
Be specific and, where possible, provide ballpark cost or FTE estimates and lead times.
List primary risks if scaled and how to reduce or monitor them.
Who must be engaged (operations, maintenance, QA, IT, supply chain, HR, leadership).
Capture practical observations that others can reuse (what worked, surprises, suggested documentation or standard work changes).
Paste URLs or describe where artifacts are stored. Attachments not uploaded here but referenced for reviewers.
Useful for tracking iterations (e.g., v1.0 — 2026-08-01).
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