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AI Ops Analyst

$89Live · Ch1 free

Make the numbers honest. Interrogate metrics, audit triage agents, write reconciliation tests, brief AI that surfaces bad news instead of burying it.

7 chapters · cert on Ch1 finish · $89 unlocks all

ai-ops-analyst · chapter 1Demo

Task

Make the numbers honest. Interrogate metrics, audit triage agents, write reconciliation tests, brief AI that surfaces bad news instead of burying it.

Result

  1. step 1Ch1: The dashboard is lying — catch a metric that lies before the board does
  2. step 2Interrogate a definition, not a direction — kill vanity metrics
  3. step 3Audit a triage agent that auto-closed the real incident as noise
Autocheck passed

A sample run on demo data — this is what the result looks like in the simulator.

Who it's for

Analysts who own the dashboard the whole company glances atOps leads whose on-call agent auto-closes alerts nobody re-checksFounders presenting board metrics they can't fully defendData folks tired of a flat line that should obviously be moving

When you'll reach for this

01

Your churn looks flat but three enterprise accounts just left

Ch1 walks the exact bug: a one-line filter silently dropped enterprise cancellations from the board number. You learn to diff a metric's definition before its data.

02

Your on-call agent reports 'system healthy' over a real outage

You read the agent's overnight triage and watch it auto-close the funnel break, the enterprise cancellations, and the dbt failure — then learn to revoke auto-close authority.

03

The CEO loves a number you suspect is vanity

One question separates signal from vanity: what counts, and does the definition predict revenue or retention? You practice asking it on the metric leadership adopted emotionally.

04

Nobody can defend the board deck line by line

Reconciliation tests and the claim/number/action memo make every headline traceable back to raw — so 'trust me' becomes 'here's the row count.'

Powers you walk away with

  • Да: Tell a healthy metric from a quietly-broken one in one question
  • Да: Read an automated triage agent and catch it silencing real incidents
  • Да: Isolate a silent redefinition hiding behind a refactor 'cleanup'
  • Да: Write reconciliation tests that reconcile a metric back to raw rows
  • Да: Brief an agent to report bad news plainly instead of spinning it

What's inside

  1. 01Ch1: The dashboard is lying — catch a metric that lies before the board does
  2. 02Interrogate a definition, not a direction — kill vanity metrics
  3. 03Audit a triage agent that auto-closed the real incident as noise
  4. 04Reconciliation tests that walk every headline number back to raw

Built on the same reconcile-it-back-to-raw discipline it teaches — every metric on FolderAI walks back to the rows that made it.

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