Business Context

NotionFlow, a B2B collaboration SaaS product, is planning next quarter's growth dashboard. The executive team currently reviews quarterly ARR growth and net revenue retention (NRR), but product and lifecycle teams want earlier signals they can influence weekly.

Metric Scenario

Over the last 2 quarters, NotionFlow's ARR grew from $48M to $54M (+12.5%), while NRR declined from 112% to 106%. At the same time, several upstream product metrics moved: workspace activation rate fell from 68% to 61%, Day-30 team retention dropped from 74% to 69%, weekly active teams / monthly active teams declined from 0.72 to 0.66, and trial-to-paid conversion improved from 18% to 21% after pricing changes. The CMO argues conversion should be the main growth KPI; the Head of Product argues activation and retention are better early-warning metrics.

You are asked to decide which metrics should be treated as leading indicators versus lagging indicators for growth, and how they should be used in a KPI hierarchy.

Requirements

1. Define the criteria you would use to classify a metric as leading or lagging for growth.
2. Classify the metrics above into leading, lagging, or neither, and explain why.
3. Propose a growth metric hierarchy linking product usage metrics to business outcomes.
4. Explain how you would validate that a proposed leading indicator actually predicts future growth.
5. Identify 2-3 risks of relying on the wrong leading indicator.

Data Available

• subscriptions: account_id, plan_type, contract_start_date, contract_value, renewal_date, expansion_mrr, churn_mrr
• workspace_events: workspace_id, user_id, event_date, event_name, feature_used, seat_count
• trials_funnel: account_id, signup_date, activation_date, conversion_date, acquisition_channel
• account_health_snapshots: account_id, week_start, active_users, active_teams, key_feature_adoption, support_tickets