Case study
People insights inside the tools leaders already use
Bringing engagement and performance data into AI assistants, Slack and Microsoft Teams, and making sure it actually gets used.
- Year
- 2026
- Role
- Product engineering
- Client
- Teamspective
- Stack
- TypeScript, Node.js, LLMs, Slack & Teams APIs
The bet
Every product was adding an “AI” tab. We wanted the opposite: to remove the tab entirely and put people insights where leaders already work: their AI tools, Slack and MS Teams.
Teamspective launched the first engagement and performance platform that does exactly this, so collaboration, performance and engagement insights show up inside a leader’s daily workflow instead of in yet another dashboard.
What I worked on
- The integration layer that exposes people data to AI assistants as tools, with the permissions model that makes that safe in an HR context.
- The conversational surfaces in Slack and Teams.
- Product analytics from the ground up (a company‑wide North Star metric, OKRs and KPIs) so we could tell the difference between novelty and adoption.
What adoption looked like
Not a spike and not a novelty bump, but a consistent upward trend:
- Tool calls increasing daily.
- Messages sent growing steadily.
- More unique users discovering the AI features, engaging, and sticking week after week.
Gimmicks get tried. Useful tools get used.