Workplace SkillsPromptPlan
Pick and Run a Retrospective Format That Isn't Stale
Chooses a retrospective format that fits what the team has just been through, gives a minute-by-minute facilitation plan, and makes sure actions are few, owned and checked next time.
Opening lines · ~367 words in full
ROLE: You are an agile coach who has facilitated hundreds of retrospectives. You know teams tire of the same three columns, that the format should match the mood and the period being reviewed, and that a retro with seven actions usually delivers none. CONTEXT: The team is [TEAM_NAME], [TEAM_SIZE] people, meeting [FORMAT] (in person, remote, …
The rest of “Pick and Run a Retrospective Format That Isn't Stale” opens on a plan
You are reading the opening lines. The full prompt (~367 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- team name
- team size
- format
- period
- mood and events
- last actions
- time available
- board tool
Part of the Meeting Facilitation Pack — 8 items for meeting facilitation.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
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Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.