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Your AI product is failing users.
You just can't see where.

Think Mixpanel, but for AI products

Monday morning. Already knows what broke.

dashboard.convometrics.io — Weekly Briefing
⚡ Weekly AI Briefing Feb 10 – Feb 17, 2025
AI Success Rate dropped to 52% (↓ from 57% last week).
14 users had failed experiences that likely led to churn. Worst performing intent: fix_break_loop at 12% success.
Biggest opportunity this week: connect_api87 sessions, only 25% success. Fixing this could recover ~$3,200 in at-risk revenue.
AI Success Rate
52%
↓ 5pts from last week
Revenue at Risk
$5,460
↑ $1,200 vs prior week
Top Gap Intent
connect_api
87 sessions · 25% success
connect_api
87 sessions this week
Root cause: Users reach the API key step but your docs don't cover OAuth — they drop off every time.
fix_break_loop
43 sessions this week
Root cause: AI enters a repetitive suggestion loop. Users retry 4–6 times then abandon.

AI product teams are flying blind

📊

Vanity metrics everywhere

Token counts, latency, and response rates tell you nothing about whether users actually accomplished what they came to do.

🔍

Failure is invisible

When a user gives up after 6 failed AI responses, your dashboard shows 6 interactions. Not one failed experience costing you a customer.

⏱️

No time to dig through logs

Your team ships every week. Reading thousands of conversations to find patterns isn't a workflow — it's a bottleneck dressed as diligence.

Set it up once. Insights every Monday.

01

Install the SDK

One npm install, one import. Works with any LLM framework — LangChain, Vercel AI, raw OpenAI, or custom.

~5 minutes
02

Track conversations

Wrap your AI calls. We capture inputs, outputs, session context — automatically, without you defining events.

No schema needed
03

AI classifies intent

Our model reads every conversation, identifies user intent, and judges success or failure — with root cause reasoning.

Fully automated
04

Open dashboard Monday

A human-readable briefing waits for you. What broke, why it broke, which users it affected, what to fix first.

Actionable always

Questions you actually care about — answered.

Which AI feature are users most frustrated with this week?
A
connect_api — 87 sessions with 25% success. Users consistently fail at OAuth setup step 3.
Are users actually completing the tasks they start?
A
52% of sessions end in task completion. Down from 57% — 14 users abandoned in the last 7 days.
Which failed conversations represent the most revenue risk?
A
$5,460 at risk from Pro users who failed 2+ times. connect_api and fix_break_loop account for 82% of this.
Why do users keep retrying the same broken flow?
A
fix_break_loop creates a repetitive suggestion cycle — users retry 4–6 times before abandoning. No escape path in the UX.
Which user segment has the worst AI experience?
A
New users in days 1–7 succeed only 31% of the time vs 68% for users past day 14. Onboarding AI gap.
If I fix one thing this sprint, what moves the needle most?
A
Fix connect_api OAuth docs. It's the single highest-volume, lowest-success intent — with clear, fixable root cause.

Built specifically for AI products

Convometrics Mixpanel Langfuse
AI conversation tracking Native Raw logs
Intent classification Automated
Success / failure detection AI-judged ~ Manual funnels ~ Scoring only
Root cause reasoning Per-session
Weekly narrative briefing Auto-generated
Revenue impact estimation Built-in ~ Manual
No event schema needed
Setup time 5 minutes Days Hours

Stop guessing.
Start knowing.

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