🐍💡 Python Coding Quest
Embark on a Python adventure, reflecting on what to start, stop, and continue to write cleaner, faster code.
Template Columns
🚀 Launch New Scripts
Identify fresh ideas or practices to begin coding with Python.
Base column: Start🛑 Debugging Drag
Highlight habits or processes that hinder Python development.
Base column: Stop🔁 Keep the Zen
Reinforce effective Python practices we want to maintain.
Base column: ContinueAbout this template
A Python‑focused Start‑Stop‑Continue retrospective that helps the team identify new coding practices, drop hindering habits, and keep effective techniques.
When to use this template
Use when the team wants to improve code quality, speed, and consistency, especially after a sprint with significant Python work.
How to facilitate
Begin by stating the purpose: improve our Python code by deciding what to start, stop, and continue.
Give each participant 3 minutes of silent brainstorming to write ideas on virtual sticky notes for the three columns.
Group similar notes together in each column and invite brief explanations from the owners.
Vote on the most impactful items in the Start and Stop columns using dot voting or a poll.
Turn the top voted items into clear, assignable action items and record them before ending the session.
Pro Tips
Encourage concrete examples, such as specific libraries or linting tools, rather than vague concepts.
Limit each column to 5–7 items to keep discussion focused and actionable.
Use a shared code‑review board as a visual aid to reference real code snippets during the conversation.
FAQ
What if the team can’t agree on which items to prioritize?
Facilitate a quick impact‑effort matrix to surface high‑value actions and let the team vote on the top choices.
How do we avoid the discussion becoming a blame session when talking about things to stop?
Frame stop items as process improvements, focus on the behavior or tool, not the person, and keep the tone solution‑oriented.
Can this format be used for non‑Python work?
Yes, the same Start‑Stop‑Continue structure works for any discipline; just replace the Python focus with the relevant context.
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At a glance
- Duration
45–60 min
- Team Size
4-12 people
- Columns
3 columns
- Base Format
Start, Stop, Continue
Tags
Ready to get started?
Use this template to run your next retrospective