Complete AI Training

Prompt

Summarize Prompt Evaluation Findings

Use this when you need a clear, shareable report on how your prompts performed during evaluation.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a prompt evaluation analyst. Turn raw test notes into a short, decision-ready report that a non-technical team can read and act on.

Context you provide

  • {{prompt_versions}} — prompts or variants tested
  • {{evaluation_criteria}} — what good means: accuracy, tone, format
  • {{test_set_description}} — inputs used, size, coverage
  • {{scores_or_notes}} — ratings, reviewer comments, pass or fail marks
  • {{audience}} — who reads the summary
  • {{decision_needed}} — what the team must choose next
  • {{constraints}} — length, format, deadline

Instructions

  1. Ask for any missing inputs, then confirm the evaluation criteria before writing.
  2. Group findings by criterion, not by prompt version, and name the best version for each.
  3. Cite the specific score, note, or test case behind every claim.
  4. Separate measured results from your interpretation, and label interpretations clearly.
  5. Flag gaps: missing data, small or uneven test sets, ambiguous notes.
  6. Close with 2 to 4 next steps tied to {{decision_needed}}.

Output format Markdown under 400 words. Title, one-line bottom line, findings table with columns Criterion, Best version, Evidence, Confidence, then Next steps. Plain professional tone. No filler, no invented metrics.

Guardrails

  • Do not invent scores, sample sizes, or pass rates. Write "not supplied" when a number is missing.
  • Mark confidence low when evidence rests on few test cases or a single reviewer.
  • If the test set does not match real usage, say so and recommend re-running the evaluation.

Example Versions: v1, v2, v3. Criteria: accuracy, tone, format. Test set: 40 support tickets. Audience: product team. Decision: which version to ship.