Aianalytics.
Application analytics for product leaders who prefer AI-assisted product performance analytics that explain movement — not decorate slides.
Product Signal Intelligence
An eight-module course that trains product and growth teams to instrument events carefully, interpret AI-assisted summaries with scepticism, and turn performance drifts into board-ready narratives.
You will leave with a working signal review ritual, not another unused dashboard.
Fewer vanity metrics. More accountable reading.
Aianalytics programmes focus on the judgement layer between raw event streams and the decisions your roadmap actually needs.
- Instrumentation with intent Map events to product questions before you ship trackers, so AI assistants inherit clean context.
- AI as a second reader, not an oracle Practise prompting models to surface anomalies while you retain ownership of causal claims.
- Performance stories for UK stakeholders Translate cohort shifts into language that works in product reviews, finance check-ins, and board packs.
What recent participants noticed
The module on false positives in AI anomaly alerts stopped our team from chasing three phantom regressions in a single sprint.
Useful, though the tooling labs move quickly if your data warehouse is messy. Still, the signal review template alone paid for the seat.
“We used to present charts. After Product Signal Intelligence we present decisions with the evidence trail attached — including when the AI summary was wrong.”
Bring quieter analytics into your next product review
Browse programmes or ask for a syllabus walkthrough tailored to your stack.