🏛️ Public Sector & GovTech · Civic Engagement
Analyze public comments without bias amplification
Representative sampling, theme coding with reliability checks, and reporting honoring minority voices.
intermediate~35 minCivic TechnologistsProgram ManagersPolicy Analysts
Steps
- 1Inventory comment sources; weight channels by reach, not volume alone
- 2Deduplicate campaigns while preserving legitimate distinct senders
- 3Code themes with double-coding on a sample; measure agreement
- 4Report majority AND minority themes explicitly with counts
- 5Publish methodology so conclusions can be scrutinized
- 6Feed results into decision documents with responses to themes raised
Common Pitfalls
- ▲Form-letter campaigns counted as thousands of unique voices
- ▲Analysis confirming the pre-written decision
Commands
Install with skills CLI
$ npx skills add aniruddhaadak80/skills --skill civic-engagement-public-comment-analysisInstall globally
$ npx skills add aniruddhaadak80/skills --skill civic-engagement-public-comment-analysis -gTags
#public-comments#analysis#equity#public-sector#civic-engagement