AI & REPORTING AUTOMATION
A daily briefing, without the daily rebuild.
A dashboard for digging into developer feedback and a weekday briefing that surfaced what was changing.
~6 hours of manual prep saved per edition
AUTOMATED REPORTING PIPELINE ARCHITECTURE
THE MESSY REALITY
Product teams lacked real-time visibility into developer friction.
The product team needed to know exactly what developers were asking for, where they were hitting roadblocks, and which conversations were accelerating. But manual CSV exports were burning hours every morning, and the data was often stale by the time it reached leadership. Instead of handing them another static slide deck, I built a two-part intelligence engine to give them answers on their schedule.
Explore the dashboard
Stakeholders could select a timeframe, read the underlying mentions, and use Gemini to generate trend summaries, feature-request and pain-point analysis, and content ideas. They could also see which conversations were gaining traction before they spiraled.
Get the briefing
Monday through Friday, the newsletter surfaced emerging and sustained trends, product-specific discussions, and possible blog topics drawn from developer conversations.
HOW I BUILT IT
From Brandwatch alerts to a custom Apps Script dashboard.
I engineered a custom, zero-maintenance pipeline that bypassed manual data pulls entirely:
- Configured precision Brandwatch alerts to feed raw mention data directly into an existing BigQuery table.
- Built the dashboard and reporting automation engine in Google Apps Script to run autonomously.
- Integrated the Gemini API to instantly analyze sentiment, summarize feature requests, and generate the weekday briefing.