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/analysis-retrospective

@e4e97c5

Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.

Use this Skill: https://skilld.dev/gh/nimrodfisher/data-analytics-skills/analysis-retrospective

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referenceslearning_capture.md

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Learning Capture Guide

How to decide which learnings from a retrospective are worth preserving — and where to put them.


Is This Learning Worth Capturing?

Ask: "Would this learning change how I or a teammate approaches a future project?"

Yes, capture it if... Skip it if...
It would have saved > 30 minutes if known earlier It's obvious in hindsight to anyone with context
It reveals a pattern (this has happened before) It was a one-off caused by exceptional circumstances
It changes an assumption baked into a template or process The project context no longer applies
It reveals a data quality issue or system behaviour that will recur The system or process that caused it has already been fixed

Where to Put Learnings

Learning type Where it goes
Process improvement Update the relevant skill's SKILL.md or checklist
Template gap or deficiency Update the relevant asset template
Data quality pattern Add to the relevant dataset's quality notes or data catalog entry
Estimation insight Update effort_estimation.md
Stakeholder communication pattern Add to stakeholder_personas.md or translation_pattern_library.md
One-time note for the team Post to team Slack / wiki; no permanent file needed
Reusable analysis pattern Create a new reference doc or script in the relevant skill folder

Learning Entry Format

When writing a learning entry for permanent capture:

## [Short title]

**Context:** [What project or situation revealed this]
**What happened:** [Brief description of the problem or insight]
**Learning:** [The transferable rule or principle]
**Where applied:** [Which template / doc / process was updated]
**Date:** [YYYY-MM-DD]

Anti-Patterns in Learning Capture

Capturing everything — a learnings log with 50 entries is never read. Be selective; capture the 2–3 things that would have saved the most time.

Vague entries — "better planning" is not a learning. "Add a data availability check to the analysis plan before committing to a deadline" is.

Capturing without acting — if the learning implies a process change, make the change immediately. Don't log learnings and then forget to update the templates.

Individual learning only — learnings that stay in one person's head aren't durable. The point is to externalise them so teammates benefit.


Quarterly Learning Review

Every quarter, review the learnings log and ask:

  • Which learnings have we actually applied?
  • Which learnings turned out to be wrong or situational?
  • Are there patterns across multiple learnings that suggest a bigger process change?
  • Which learnings should be promoted into a skill reference or team norm?

Source: SKILL.md on GitHub

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    The skill provides a framework and templates for conducting post-project retrospectives. It contains no executable code or network requests and poses no security risk.

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Signed by skilld at e4e97c5. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 5 days ago.

Activeupdated 5 months ago

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