To build a changelog from email updates, follow these steps to convert the content of your email updates into a clean, structured, and useful changelog. Here’s a streamlined process:
Step-by-Step Guide to Build a Changelog from Email Updates
1. Collect Relevant Emails
-
Filter your inbox using keywords like
update
,release
,feature
,bug fix
,changelog
,patch
, etc. -
Focus on emails from product teams, developers, QA, or marketing with product update content.
-
Consolidate all relevant emails into a single document or spreadsheet.
2. Extract Key Information
From each email, extract:
-
Date of update
-
Version number (if available)
-
Title or summary of change
-
Details of new features, improvements, or bug fixes
-
Category tags (e.g.,
Feature
,Improvement
,Bug Fix
,Deprecation
, etc.)
Example structure:
3. Normalize Language and Format
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Convert bullet points and raw descriptions into consistent, concise wording.
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Use action verbs and avoid vague language. For example, replace “bug fixed” with “Fixed bug causing…”
-
Group changes by categories:
Added
,Changed
,Fixed
,Removed
.
4. Organize Chronologically
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Sort the changelog entries by version and/or date.
-
The newest updates should appear at the top.
5. Optional: Use Markdown Format
If you’re publishing the changelog on a website, GitHub, or an internal portal, Markdown is a clean and readable format.
6. Create a Running Changelog File
Start a master file like CHANGELOG.md
, and continually append new updates as they are extracted from future emails.
Sample Changelog Based on Email Update
Assume the following email summary:
Subject: Product Update – May 2025
We’ve rolled out updates to enhance dashboard performance, introduced real-time notifications, and squashed several bugs reported by users.
Automation Tip (Optional)
If you’re handling frequent updates:
-
Use tools like Zapier, Make (Integromat), or Google Apps Script to automatically extract relevant text from emails and append it to a changelog file or Google Sheet.
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Natural Language Processing (NLP) tools can help classify changes into categories automatically.
Let me know if you want a script or tool recommendation to automate the extraction process.
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