Onboarding laggard

Determine whether [Customer] is on track or behind schedule in their product onboarding by comparing weekly active user (WAU) adoption against expected benchmarks for their onboarding stage.

Step 1: Pull product usage

Retrieve weekly active user metrics and company size metrics for the last 18 months.

Step 2: Determine onboarding stage

Find the earliest available product usage data point to estimate how long the customer has been onboarded. Calculate months since first use:

• Ramp stage: < 1 month since onboarding
• Early stage: 1–2 months since onboarding
• Mid stage: 3–5 months since onboarding
• Mature stage: 6+ months since onboarding

Step 3: Infer customer tier from company size

• Starter: < 150
• Business: 150–500
• Enterprise: > 500

Step 4: Compare current WAU against tier and stage benchmarks

• Ramp (< 1 month): Starter ≥ 1 | Business ≥ 3 | Enterprise ≥ 10
• Early (1–2 months): Starter ≥ 5 | Business ≥ 20 | Enterprise ≥ 60
• Mid (3–5 months): Starter ≥ 12 | Business ≥ 50 | Enterprise ≥ 150
• Mature (6+ months): Starter ≥ 20 | Business ≥ 80 | Enterprise ≥ 250

Step 5: Classify

• Behind schedule: Current WAU is below the expected minimum for their stage and tier.
• On track: Current WAU meets or exceeds the expected minimum.

Return exactly one of: Behind schedule, On track

Include one sentence with specific numbers (e.g., “4 months into onboarding with 18 weekly active users vs. the expected ≥50 for a Business-tier account.”) in the reason field.