Playbook

Turn Data into Better Decisions — Practical Playbook

An interactive, fillable playbook that guides teams from problem framing to evidence plans, decision records, and scheduled post-decision evaluations. Includes ready-to-use templates, facilitator notes, and a 90-minute decision huddle agenda. Submissions save as structured JSON so teams can track decisions, follow-up actions, and outcomes over time.

Interactive Tool

Turn Data into Better Decisions — Practical Playbook

Welcome

This playbook helps teams move beyond descriptive reporting toward clear, evidence-based decisions. Use the templates below during a decision huddle or asynchronously to: frame the problem, design an evidence plan, set analysis acceptance criteria, record the decision and communication plan, and schedule post-decision evaluation. Fields are saved so your team can track follow-up, measure outcomes, and learn over time.

How to use this form

  1. Start with Problem Framing to align stakeholders and constraints.
  2. Build a concise Evidence Plan identifying data sources and metrics.
  3. Agree Analysis Acceptance Criteria before doing deep analysis.
  4. Record the Decision and Communication Plan to make accountability explicit.
  5. Schedule a Post-Decision Evaluation and assign owners for follow-through.

90-minute Decision Huddle (facilitator notes)

Suggested agenda (90 minutes):

  • 5 min — Welcome & purpose
  • 15 min — Problem framing and alignment
  • 20 min — Evidence plan & quick data review
  • 20 min — Agree analysis criteria and trade-offs
  • 20 min — Make the decision, assign owners, set communication plan
  • 10 min — Confirm post-decision evaluation schedule and next steps

Example (short)

Problem: Production line X has rising defect rate impacting throughput.

Decision at stake: Whether to pause the line for immediate tooling inspection or run targeted tests while keeping production live.

Evidence plan: Pull last 30 days defect-by-shift, recent maintenance logs, and 3-run sample tests from morning shift.

Decision: Run targeted tests, pause only if sample failure >5% for two consecutive runs. Owner: Plant Manager. Review in 48 hours.

Concise title that captures the issue or opportunity (for quick reference).
Short description of current situation, recent changes, history, and any prior attempts to address this. Include links or pointers to supporting reports if available.
Who must be involved or informed? List names, roles, and what each stakeholder cares about.
Time, budget, regulatory or safety constraints, and any trade-offs that limit options.
Be explicit: what exact decision(s) will this playbook inform? (E.g., pause production, approve budget, change supplier.)
How will we know the decision succeeded? Define measurable outcomes where possible.
List data sources you will use (systems, logs, sensors, surveys, experiments). Include owner or contact for each source.
Specify the metrics, exactly how they are calculated, and acceptable units (e.g., defects per million, mean time between failures).
How often will metrics be collected or updated?
Optional. Provide specifics if 'Other' was selected above.
Describe any experiments, pilots, or sample tests, including sample size, duration, and expected measurements.
Person responsible for gathering data and running analysis.
What evidence will be considered sufficient to make the decision? Include confidence levels, thresholds, sample sizes, or specific statistical tests if relevant.
Enter a numeric minimum sample size required for analysis. Leave blank if not applicable.
Select types of evidence that must be available before deciding.
Summarize the decision that was made. If multiple options, note which option was chosen and why.
Record the date/time of the decision (or expected decision date). Use YYYY-MM-DD where possible.
Name and role of person accountable for the decision and its outcomes.
Concise explanation of the evidence and trade-offs that led to the decision.
How and when will the decision be communicated? Who needs to be informed and through which channels?
List next steps, owners, and expected completion dates for actions that must occur immediately after the decision.
When and how will you evaluate the impact of the decision? Include dates, metrics to review, and acceptance criteria for success or rollback.
Person responsible for running the post-decision reviews and reporting results.
How often will the evaluation owner report progress?
Notes for the meeting facilitator, including timeboxes, escalation rules, and suggested rapid-analysis checks.
Paste short example fills or links to example documents to help teams quickly adapt this template.
Paste URLs or reference IDs for supporting data extracts or dashboards.
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