Product Analytics
helio / user-insightsConnect your product's usage data. Your AI teammate turns it into a weekly report — active scenarios, regions, retention, and anything that suddenly changed.
What is Product Analytics?
- ·Turns usage data into plain English: A weekly report on active scenarios, regions, and retention — not a dashboard you have to know how to query.
- ·Uses signals a VPN can't fool: Region breakdown built from locale and timezone signals, not IP address.
- ·Confirms before calling it a trend: Two windows moving in the same direction are required — a single blip never gets escalated.
- ·Watches for its own report going missing: Silent unless the expected report doesn't show up, then fires a backup and alerts immediately.
- ·Never exposes individual users: Every report is aggregated and de-identified before it reaches you.
- ·Locks metric definitions once, applies them every week: "Real DAU" or "active user" gets one agreed definition up front, so this week's number and last week's number are actually comparable.
What does Product Analytics produce?
| 📊Scenario breakdown | 6–8 usage buckets, ranked and compared week over week. |
| 🌍Region signal | Locale/timezone-based, resistant to VPN distortion. |
| 📈Retention cohort view | Week-1/week-4 retention, cohort by cohort. |
| 🚨Anomaly alert | Fires only after two-window confirmation, not a single blip. |
| 🛰️Report watchdog | Backup report plus alert if the expected report doesn't land. |
| 📐Metric definitions doc | Every reported metric's exact definition, agreed once and reused every week. |
The SOP, step by step.
- 01
Pull a week of usage events
Every action, grouped by what it was for.
- 02
Cluster into scenarios and regions
6–8 usage buckets, plus a region breakdown from locale/timezone signals, not IP.
- 03
Track cohorts forward
Each week's signups followed to week 1, week 4, compared side by side.
- 04
Compare to the baseline
Week-over-week movement flagged — rising, flat, or fading.
- 05
Scan continuously for anomalies
Traffic and signup mix checked against a rolling baseline, not just yesterday.
- 06
Confirm before calling it a trend
Two windows in the same direction, not one blip, before anything's flagged.
- 07
Watch for the report itself going missing
Expected arrival time known; if it doesn't land, fire a backup and alert immediately.
- 08
Deliver the weekly report
Plain-English summary, delivered on schedule; silence otherwise.
What it produces, in practice.
Illustrative example generated for this page — actual output depends on your real usage data.
📊 Weekly Usage Report
Sample · illustrativeReal DAU is holding steady; one scenario is gaining share, one is fading.
| Metric | This week | Last week | Definition |
|---|---|---|---|
| Real DAU | Stable | Stable | Identified user with an action that day |
| Scenario A share | Rising | — | % of weekly sessions in this bucket |
Anomaly scan: no confirmed anomalies this week — one single-day dip did not repeat on the second window, so it was not escalated.
Region breakdown and full retention cohort view attached in the linked report.
Helio vs. Mixpanel, Amplitude, and a weekly query.
| Feature | Helio | Mixpanel | Amplitude | A weekly SQL query |
|---|---|---|---|---|
| Reads usage in plain English | ✓ | ✗ | ✗ | ✗ |
| Delivers into your team channel | ✓ | ✗ | ✗ | ✗ |
| Anomaly detection built in | ✓ | Partial | Partial | ✗ |
| Region data that ignores VPNs | ✓ | ✗ | ✗ | ✗ |
| Alerts if a report itself goes missing | ✓ | ✗ | ✗ | ✗ |
| Works as a teammate | ✓ | ✗ | ✗ | ✗ |
Watch Pulse set up a weekly report.
Questions
- Do I need analytics already set up?
- You need some source of usage events — PostHog, Mixpanel, Amplitude, or your own event table. Helio reads from what you already have; it doesn't replace your instrumentation.
- Does this expose individual users' data?
- No. Every report is aggregated and de-identified before it reaches you. Helio never surfaces a real name, email, or individual session in a weekly report.
- How is this different from a BI dashboard?
- A dashboard waits for you to open it and know what to look for. Helio decides what's worth reporting and shows up in your channel with it — including things you didn't think to ask about.
- Can it tell me why something changed, not just that it did?
- It flags the change and the most likely contributing signals — a channel spike, a cohort drop-off — but a causal explanation still needs a human judgment call.
- Does it replace Mixpanel or Amplitude?
- No. Think of it as what reads those tools and turns them into a report, not a replacement analytics platform.
- Is the weekly report customizable?
- Yes. Tell it which scenarios, regions, or metrics matter most, and it adjusts what gets reported.
- How do you keep this week's numbers comparable to last week's?
- Every metric's definition is agreed once up front — what counts as "active," what window a cohort covers — and reused every week. The report also labels its own definitions so a number never quietly means something different than it did last time.
Give Helio a week of usage data and get back a report worth reading.
Connect your event source, and the first weekly report lands in your workspace before Monday standup.
Ask about this automation