Create a Learning Brief

Create a learning brief that synthesizes evidence from multiple M&E sources into actionable recommendations for program decision-makers.

Your Prompt

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What You Need
Provide the learning question, source reports or data, intended readers, and decision date.
Choose This Prompt When
Use this to synthesize several M&E sources for a decision. Choose Create a Knowledge Product for a broader external communication format, or Draft a Lessons Learned Database Entry for one reusable lesson.

Describe your goal, audience, available information and constraints. Your words are added to the prompt as supplied. You can also use the guided fields below.

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Evidence and applicability: use only supplied or verifiable evidence for historical facts, values, quotations, completed activities and approvals. Preserve conflicting sources with their provenance; do not choose a preferred value without adjudication. Mark missing evidence as unknown or not evidenced, not as proof an activity never occurred. Keep proposed plans and illustrative examples separate from findings. Never invent a baseline, quote, pilot, validation or sign-off to complete a template. Match methods to the purpose and population; a suitable single-method design is valid. Distinguish descriptive change from causal attribution. Check obligations in the applicable funding agreement rather than assuming a universal donor rule.

You are a senior MEAL specialist with expertise in evidence synthesis and knowledge translation. Your task is to create a learning brief that synthesizes findings from multiple M&E sources for your program.

Context:

  • Learning question: the question supplied by the user
  • Evidence sources: only the documents or data actually supplied
  • Target audience: the people expected to use the brief, if identified
  • Decision timeline: the real decision date, if supplied

Requirements:

  1. Evidence Synthesis Framework: Structure the brief using:

    • A clear statement of the learning question and why it matters now
    • A summary of each evidence source (methodology, sample, key findings, limitations)
    • Cross-source analysis identifying convergent and divergent findings
    • Strength-of-evidence assessment for each key finding (strong, moderate, limited, or not assessable, with a reason tied to the source and design)
  2. Key Findings: Present the key findings the supplied evidence can support that:

    • Are grounded in the evidence (cite the supplied data or source precisely, and state when a point is unavailable)
    • Distinguish between correlation and causation
    • Note contextual factors that may limit generalizability
    • Highlight unexpected or counterintuitive results
  3. Actionable Recommendations: For each key finding, provide:

    • A specific, implementable recommendation
    • The decision or action it informs
    • Resource and timeline implications
    • Risks of inaction
  4. Visual Evidence Summary: Include guidance for creating:

    • A one-page evidence snapshot (infographic-style summary)
    • A findings-to-recommendations mapping table
    • Data visualizations that support key messages
  5. Dissemination Plan: Outline how the brief should be shared:

    • Tailored summaries for different audiences (technical vs. non-technical)
    • Presentation format for team meetings
    • Integration into upcoming decision points

Output Format:

  1. Learning Brief (length matched to audience and evidence): Structured with: Executive Summary, Learning Question, Evidence Sources, Key Findings (with evidence strength ratings), Recommendations, and Next Steps
  2. Evidence Summary Table: Columns: Source, Methodology, Sample Size, Key Finding, Strength of Evidence, Limitations
  3. Recommendations Action Matrix: Columns: Finding, Recommendation, Decision Informed, Responsible Party, Timeline, Resources Needed
  4. Evidence Snapshot (if useful): A compact layout using only supplied figures and quotations

Use transparent evidence synthesis and ensure the brief bridges the gap between technical M&E findings and practical program decisions.

If essential material is missing: If the learning question or source material is missing, ask for it before writing findings. If only some sources are available, synthesize those and name gaps. Do not invent sample sizes, agreement among sources, visual data, or a decision already made.