Hire your AI Data Analyst

Daily metric delta

Every 6:30am, pulls yesterday's metrics vs. rolling 7-day and 28-day averages. Flags anomalies >15% off trend with a one-sentence hypothesis: 'Signups down 22% — correlates with the checkout 500 errors Linear flagged yesterday.'

Experiment readout

At experiment end, calculates statistical significance, confidence interval, and business impact (not just conversion lift, but projected MRR delta over 12 months). Flags secondary metrics that moved — the hidden side effects.

Cohort deep-dive

Monthly retention analysis by signup month, acquisition channel, plan tier, and any feature-flag cohort. Identifies what the best-retaining cohort did differently in week 1 vs. average cohorts.

Churn investigation

When the CFO flags a churn spike, pulls the list of churned customers, joins with usage data and support tickets, clusters reasons, and returns a ranked list: 50% price, 30% missing feature, 20% didn't activate.

Dashboard reduction

Quarterly audit of all dashboards. Kills the ones nobody looks at. Consolidates overlapping ones. Annotates every chart with the question it answers and what to do if the line moves.

Forecast refresh

Monthly re-forecast of MRR, cash, and headcount-cost (AI employees included). Shows three scenarios — base, bull, bear — with the drivers that move between them.

Without

• You stare at PostHog for 40 minutes trying to remember how to query funnel drop-off
• Data team costs $180K/year, outputs 2 reports a month
• Experiment 'won' in PostHog — but it cost you LTV, you found out 6 months later
• Every teammate uses a different definition of 'active user'
• Dashboards multiply forever, nobody trusts any of them

With Tycoon

• Ask in chat, AI returns the query + chart + interpretation
• AI Analyst runs continuously, ships daily deltas, no OKR cycle
• AI checks secondary metrics on every experiment, flags hidden regressions
• Metric dictionary is the single source, AI enforces it
• Quarterly reduction, every chart has an owner and a question