Wake up to the answers, not the questions
Schedule the reports that matter and they run on their own — comparing against last week, flagging what changed, and explaining it in plain language. Every morning, the intelligence is already waiting.
The best time to catch a problem is before you go looking for it. Instead of remembering to check the dashboard, you schedule the work once — and from then on it runs itself, watching the numbers so you don't have to. You open your inbox to what changed and what it means, not a chart you still have to read.
Everyone wakes up to what's theirs
Same product, personalized per person and team. Each seat schedules the reports it actually cares about.
- Marketing — funnel movement, campaign performance, where the drop-off is.
- Engineering — error rates, latency, deploy health.
- Founder / exec — the three numbers that actually matter, in one glance.
It feels less like buying a dashboard and more like staffing the company with someone who reports in every morning.
Reports that tell you what matters — not just what happened
A report that restates the dashboard just moves the reading somewhere else. OpsTower reports do the interpreting: they compare against last week, surface the anomalies worth your attention, and summarize what changed in plain language. A significant swing doesn't get buried in a chart — it gets pulled to the top, explained, and put in front of you.
The swing is in there somewhere. The reading is still your job.
Same data. Compared, flagged, and explained in plain language.
Read two of them, end to end
Sample daily reports for Brewly, a fictional coffee subscription startup. Open one and see how far past the dashboard it goes.
Product analytics
Daily metrics, anomaly detection, and recommendations for product, engineering, and marketing.
Brewly Daily Analytics Report
Wednesday, March 25, 2026
The Bottom Line
Tuesday's email campaign ("Spring Roast Drop") drove a record traffic day — 4,210 unique visitors, up 62% — but trial-to-paid conversion quietly dropped to 4.1%, the lowest in three weeks. The root cause: a Stripe webhook timeout introduced in Monday's deploy is silently failing 8% of checkout completions, so users think their subscription didn't go through and abandon. MRR still grew to $48,400 thanks to volume, but the team is leaving roughly $3,800/day on the table until the webhook issue is fixed.
Health Scorecard
| AREA | STATUS | SUMMARY |
|---|---|---|
| Acquisition (new visitors, signups) | HEALTHY | 4,210 unique visitors today — up 62% from yesterday (2,598) and up 41% vs. last Wednesday (2,980). The Spring Roast campaign is driving strong top-of-funnel traffic. |
| Engagement (sessions, feature usage) | HEALTHY | 5,840 sessions with an average duration of 4m 32s, up from 3m 48s yesterday. Flavor Quiz completions hit an all-time high of 680. Users are exploring the product. |
| Activation (trial starts, first order) | NEEDS ATTENTION | 312 new trial signups (healthy), but only 64 converted to a paid subscription — a 4.1% rate vs. the 7-day average of 6.8%. The drop started Monday and is getting worse. |
| Revenue (MRR, transactions) | NEEDS ATTENTION | MRR grew to $48,400 (+$620 net new today), but 23 checkout attempts failed silently — an estimated $3,800 in lost daily revenue. Without the webhook bug, today would have been the best revenue day this quarter. |
Key Metrics
| METRIC | TODAY (MAR 25) | YESTERDAY (MAR 24) | 7-DAY AVG (MAR 19–25) | SAME DAY LAST WEEK (MAR 18) | DAY-OVER-DAY | VS. LAST WEDNESDAY |
|---|---|---|---|---|---|---|
| Unique Visitors | 4,210 | 2,598 | 2,870 | 2,980 | +62.0% | +41.3% |
| Total Sessions | 5,840 | 3,410 | 3,650 | 3,920 | +71.3% | +49.0% |
| New Signups | 312 | 198 | 215 | 224 | +57.6% | +39.3% |
| Trial-to-Paid Rate | 4.1% | 5.2% | 6.8% | 7.1% | −21.2% | −42.3% |
| Paid Conversions | 64 | 52 | 73 | 80 | +23.1% | −20.0% |
| Avg Session Duration | 4m 32s | 3m 48s | 3m 55s | 4m 05s | +19.3% | +11.0% |
| Flavor Quiz Completions | 680 | 390 | 420 | 445 | +74.4% | +52.8% |
| Gift Subscriptions Sent | 89 | 34 | 41 | 38 | +161.8% | +134.2% |
| Subscription Upgrades | 28 | 22 | 19 | 18 | +27.3% | +55.6% |
| Churned Subscriptions | 12 | 15 | 14 | 11 | −20.0% | +9.1% |
| MRR | $48,400 | $47,780 | $47,200 | $45,900 | +1.3% | +5.4% |
| Revenue Today | $4,480 | $3,640 | $3,290/day | $3,120 | +23.1% | +43.6% |
Systems operations
System health, error tracking, deploy correlation, and prioritized fixes.
Brewly Operations — System Health Report
Report Date: Thursday, 2026-03-26
Generated: End of day | Coverage: 2026-03-20 → 2026-03-26
System Health Summary
The platform is partially degraded with two high-severity issues persisting since Monday's payment-service deploy. The Stripe webhook timeout (checkout.session.completed handler exceeding Cloudflare's 30s CPU limit) is now confirmed as the root cause of the 8% checkout failure rate flagged in yesterday's analytics report — 68 subscriptions have been charged but never activated over the past 3 days. A Supabase connection pool exhaustion issue emerged overnight, causing intermittent 500s on the subscription API for ~12 minutes before self-recovering. The recommendation engine's Cloudflare Worker is hitting CPU time limits on 4.2% of requests, producing stale "You might also like" suggestions for affected users. On the positive side, the hotfix for the webhook race condition (commit b7e3a42) deployed yesterday is confirmed working — duplicate subscription events dropped to zero.
At a Glance:
| SYSTEM | STATUS |
|---|---|
| Checkout & Payments | Degraded — 8% of checkouts failing silently due to webhook timeout, 68 stuck subscriptions over 3 days |
| Subscription API | Recovered — Supabase pool exhaustion caused 12 min of 500s overnight; self-healed after idle connections were reaped |
| Recommendation Engine | Degraded — 4.2% of requests hitting Worker CPU limit, returning stale suggestions |
| Email Delivery (Resend) | Healthy — 100% delivery rate, avg latency 1.2s |
| Inventory Sync | Healthy — all warehouse feeds processing within SLA |
| Scheduled Jobs (Cron) | Healthy — all 6 cron triggers firing on schedule |
The point of a report isn't to show you the numbers. It's to tell you which ones to care about.
When something needs fixing, it's already a ticket
Catching a problem is half the job. When a report flags an anomaly, OpsTower can file it straight to your issue tracker — with the findings attached — so it lands in your workflow as a task, not a note-to-self you have to remember to write up. You wake up to the problem and the first step already taken.