Analytics Dashboards Founders Actually Use

Fewer metrics, stronger decisions

Dashboards fail when they optimize for completeness over actionability. Keep one north-star metric and a tight set of supporting diagnostics.

  • North-star: reflects durable value creation
  • Diagnostics: explain why north-star moved
  • Guardrails: reveal risk before it compounds

Set thresholds before the weekly review

Without pre-defined thresholds, teams debate interpretation. A dashboard should trigger clear actions when thresholds are crossed.

Alert if churn_rate > 5% or activation_rate < 35% for two consecutive weeks

Connect metrics to actions

Every metric card should map to an owner and a next action. If a number changes and no one acts, the dashboard is decorative.

ts
type MetricAction = { metric: string; owner: string; trigger: string; action: string };

const actions: MetricAction[] = [
  { metric: 'activation_rate', owner: 'Product', trigger: '< 35%', action: 'audit onboarding steps' },
  { metric: 'trial_to_paid', owner: 'Growth', trigger: '< 18%', action: 'revise pricing proof block' }
];
Secondary visual

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