SaaS Dashboard Analyst — Claude AI Skill for Tracking Audits & SaaS Metrics

“My GA4 doesn’t match my backend” — gets a list of possible reasons with no diagnosis of where your specific gap actually lives

Calculates the discrepancy rate, maps it to a severity tier, runs the diagnostic checklist (signup paths, event config, consent mode, definition mismatch), and names the specific root cause

Fix advice is vague — “check your tracking setup” without specifying which GTM trigger, which URL pattern, or which GA4 event name to use

Specific fixes: “add a GTM trigger for the /signup/success URL pattern mapped to the sign_up GA4 event” — with the exact implementation path for GTM, gtag.js, or Measurement Protocol

Metrics explained in theory — NRR definition recited without applying it to your actual MRR movement numbers

Applies formulas to your actual data — calculates MoM growth, trial conversion rate, NRR, CAC payback period from whatever numbers you paste in

Dashboard advice adds metrics — more KPIs, more charts, more panels — without addressing whether anyone is making decisions from any of it

3-layer KPI hierarchy — one North Star, 4–6 growth levers, everything else in drill-downs. Fixes the six most common dashboard mistakes with specific restructuring recommendations

Same advice regardless of stage — a 200-user early-stage startup and a 100K-user scale company get identical measurement recommendations

Stage-calibrated tracking recommendations — early stage (under 1K users), growth stage (1K–50K), and scale stage (50K+) each get a different event schema and KPI focus

Share the backend count, GA4 event count, and how users sign up. The skill calculates the discrepancy rate, assigns it a severity level (under 5% is normal, over 30% is critical), and runs through the diagnostic checklist — signup flow coverage, event configuration, consent mode, and definition alignment. Root cause identified, specific fix provided.

TRACKING AUDIT — June 2025

Signup Tracking
  Backend count:        490
  GA4 sign_up count:    340
  Discrepancy rate:     31% ⚠️ CRITICAL
  Root cause:           Google OAuth path not tracked — event only fires
                        on web form submission, not /auth/callback redirect
  Fix:                  Add GTM trigger: Page URL contains /auth/callback
                        → fire sign_up event with method: "google"

Revenue Tracking
  Trial start event:    Missing
  Trial → paid event:   Missing
  Priority:             Implement before any paid campaign spend

Share whatever numbers you have — a rough paste from your dashboard, a screenshot description, or a data export. The skill identifies what’s working, what needs attention, calculates the key ratios (NRR, trial conversion rate, DAU/MAU stickiness, CAC payback), and surfaces the single most important metric to focus on — with a reason and a recommended action.

Dashboard Analysis — May 2025

What's Working
  · MRR up 14% MoM — above the 10% benchmark for growth-stage SaaS
  · NRR: 108% — expansion revenue more than offsetting churn ✓

What Needs Attention
  · Signup → activation rate: 31% (industry benchmark: 40–60%)
  · DAU/MAU: 12% — below the 20% healthy threshold; product not habit-forming yet

The Single Most Important Metric Right Now
  Activation rate (31%) — this is the leak. You're acquiring users but failing
  to get them to the aha moment. Fix this before scaling acquisition spend.

Next Actions
  1. Define your activation event (the one action all paid users took)
  2. Check what % of trial users complete it within 72 hours
  3. Redesign day-1 onboarding to push every user toward that action first

Describes your current dashboard and what decisions you need to make from it. The skill selects a North Star metric for your product type, builds a 3-layer hierarchy (1 North Star, 4–6 growth lever metrics, diagnostic-only metrics in drill-downs), fixes the six most common dashboard mistakes, and outputs a recommended layout — 4 rows: top-line numbers, funnel, trends, source breakdown.