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Product Metrics Dashboard Templates: Metrics & Analytics Dashboard Kit

Metrics & Analytics Dashboard Kit

A complete KPI tracking system for product managers covering engagement, retention, revenue, and growth metrics. Includes metric definition templates, dashboard layouts, reporting cadences, and executive summary formats.

Key Features

  • Metric Definition Framework — Standardized definitions for every KPI to prevent misalignment
  • Dashboard Layout Templates — Pre-built layouts for daily, weekly, and monthly views
  • Funnel Analysis Templates — Acquisition, activation, retention, revenue, referral (AARRR)
  • Cohort Analysis Guide — Week-over-week and month-over-month retention tracking
  • Executive Metrics Brief — One-page metric summaries for leadership
  • Alert Threshold System — Define warning and critical thresholds for every metric

What's Included

File Purpose
dashboards/main.json Primary dashboard configuration
alerts/rules.yml Alert threshold definitions
templates/metric-definitions.md KPI definition template with ownership
templates/dashboard-daily.md Daily operational dashboard layout
templates/dashboard-weekly.md Weekly business review dashboard
templates/dashboard-monthly.md Monthly strategic dashboard
templates/funnel-analysis.md AARRR pirate metrics framework
templates/cohort-analysis.md Retention cohort tracking template
templates/exec-metrics-brief.md Executive summary format
docs/overview.md Methodology and metric selection guide
config.example.yaml Alert thresholds and reporting cadence config

Quick Start

  1. Start with templates/metric-definitions.md — define your top 5 North Star metrics
  2. Choose your primary dashboard cadence (daily, weekly, or monthly)
  3. Map your funnel using templates/funnel-analysis.md
  4. Set alert thresholds in alerts/rules.yml
  5. Schedule your first Weekly Business Review using the weekly dashboard template

Template Examples

Metric Definition Card

Metric Name:    Daily Active Users (DAU)
Category:       Engagement
Definition:     Unique users who perform at least 1 core action in a 24-hour period
Data Source:     analytics.events WHERE event_type IN ('create', 'edit', 'share')
Owner:          Product Manager — Growth
Target:         15,000 DAU by Q3
Alert:          Warning < 12,000 | Critical < 10,000
Cadence:        Reported daily, reviewed weekly
Segments:       By plan tier, by platform, by acquisition channel
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AARRR Funnel Dashboard

Stage           | Metric                  | Current  | Target   | Status
----------------|-------------------------|----------|----------|--------
Acquisition     | New signups/week        | 1,240    | 1,500    | At Risk
Activation      | Completed onboarding    | 62%      | 70%      | At Risk
Retention       | Week-4 retention        | 34%      | 40%      | Off Track
Revenue         | MRR                     | $48,200  | $55,000  | At Risk
Referral        | Viral coefficient       | 0.3      | 0.5      | Off Track

Overall Funnel Health: NEEDS ATTENTION
Priority Focus: Retention > Activation > Acquisition
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Cohort Retention Table

Cohort     | Week 0 | Week 1 | Week 2 | Week 4 | Week 8 | Week 12
-----------|--------|--------|--------|--------|--------|--------
Jan W1     | 100%   | 68%    | 52%    | 38%    | 28%    | 22%
Jan W2     | 100%   | 71%    | 55%    | 41%    | 30%    | --
Jan W3     | 100%   | 65%    | 49%    | 36%    | --     | --
Jan W4     | 100%   | 72%    | 58%    | --     | --     | --
Feb W1     | 100%   | 70%    | --     | --     | --     | --

Trend: Week-1 retention stable (65-72%). Week-4 improving (+3pp MoM).
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Usage Guide

  1. Define Before You Measure: Use the metric definition card for every KPI. If two people define a metric differently, the dashboard is useless.

  2. Start with 5 Metrics: Resist the urge to track 50 things. Pick your North Star metric and 4 supporting metrics that explain movement in the North Star.

  3. Build the Funnel First: Map your AARRR funnel before building dashboards. The funnel tells you WHERE to look; dashboards tell you WHAT happened.

  4. Cohort Everything: Aggregate metrics hide problems. A flat DAU number might mask declining retention offset by increased acquisition — cohorts reveal truth.

  5. Automate Alerts: Set thresholds for every metric. You should hear about problems from alerts, not from your CEO.

Alert Threshold Configuration

metric: daily_active_users
  warning_threshold: 12000
  critical_threshold: 10000
  comparison: below
  window: 24h
  notify: [pm-team, eng-oncall]

metric: error_rate
  warning_threshold: 1.0
  critical_threshold: 5.0
  comparison: above
  window: 1h
  notify: [eng-oncall, eng-lead]

metric: p95_latency_ms
  warning_threshold: 500
  critical_threshold: 1000
  comparison: above
  window: 15m
  notify: [eng-oncall]
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Best Practices

  • One metric, one owner — if nobody owns it, nobody investigates when it drops
  • Define "core action" precisely — logging in is not engagement; creating/editing/sharing is
  • Compare cohorts, not time periods — "retention improved" means nothing without cohort context
  • Show trailing averages — daily metrics are noisy; use 7-day moving averages for trends
  • Segment by default — "DAU is up" matters less than "DAU is up on iOS, flat on Android"
  • Review thresholds quarterly — as your product grows, static thresholds become meaningless
  • Automate what you review weekly — if you look at it every week, it should be a dashboard, not a query

This is 1 of 11 resources in the PM Toolkit Pro toolkit. Get the complete [Product Metrics Dashboard Templates] with all files, templates, and documentation for $39.

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