Startup Metrics Dashboard Skill
Overview
The Startup Metrics Dashboard skill provides comprehensive capabilities for building and maintaining startup metrics dashboards with key KPIs. It enables startups to track critical performance indicators, generate investor-ready reports, and make data-driven decisions using established frameworks like AARRR (Pirate Metrics) and North Star metrics.
Capabilities
Core Functions
- AARRR Pirate Metrics: Calculate and track Acquisition, Activation, Retention, Referral, Revenue metrics
- North Star Tracking: Define and track North Star metrics and supporting indicators
- MRR/ARR Dashboards: Generate Monthly and Annual Recurring Revenue dashboards
- Growth Rate Calculation: Calculate and visualize growth rates (WoW, MoM, YoY)
- Runway and Burn Tracking: Track burn rate, runway, and cash position
- Cohort Visualizations: Create cohort retention and revenue visualizations
- Investor Reports: Generate investor-ready metrics reports
- Threshold Alerts: Set up and manage metric threshold alerts
Advanced Features
- Predictive metrics modeling
- Benchmark comparisons by stage and sector
- Metric correlation analysis
- Leading vs lagging indicator tracking
- Scenario modeling for metrics
- Custom metric definitions
- Data source integrations
- Historical trend analysis
Usage
Input Requirements
- Business model type (SaaS, marketplace, etc.)
- Stage and funding status
- Available data sources
- Key business questions
- Reporting frequency
- Stakeholder requirements
Output Deliverables
- Configured metrics dashboard
- North Star metric definition
- AARRR funnel visualization
- MRR/ARR tracking charts
- Cohort analysis tables
- Runway projections
- Investor-ready reports
- Alert configurations
Process Integration
This skill integrates with the following processes:
financial-model-development.js - Financial metrics integrationproduct-market-fit-assessment.js - PMF metrics trackinginvestor-update-communication.js - Metrics reportinggrowth-experiment-design.js - Experiment metrics
Example Invocation
Skill: startup-metrics
Context: B2B SaaS startup Series A metrics dashboard
Input:
- Model: B2B SaaS, monthly subscriptions
- Stage: Series A
- Data Sources: Stripe, Mixpanel, HubSpot
- North Star Candidate: Weekly Active Teams
Output:
- Dashboard configuration
- Metrics definitions:
- MRR, ARR, growth rate
- CAC, LTV, LTV:CAC ratio
- Churn (logo and revenue)
- NRR, GRR
- Activation rate
- Time to value
- Cohort retention charts
- 18-month runway projection
- Weekly metrics email template
Dependencies
- Analytics platform integrations
- Visualization libraries
- Financial data connections
- Alerting systems
- Report generation tools
Best Practices
- Define a clear North Star metric that aligns with business value
- Track both leading indicators (predict future) and lagging indicators (confirm past)
- Use cohort analysis to understand true retention patterns
- Segment metrics by customer type, plan, or acquisition channel
- Compare metrics to stage-appropriate benchmarks
- Update dashboards in real-time or at minimum weekly
- Make metrics accessible to the whole team
- Focus on trends, not single data points
- Document metric definitions to ensure consistency
- Regularly review and retire metrics that don't drive decisions
- Prepare investor-ready metrics views in advance
- Track both absolute values and growth rates
1---2name: startup-metrics3description: Build startup metrics dashboards with key KPIs4---5
6# Startup Metrics Dashboard Skill
7
8## Overview
9
10The Startup Metrics Dashboard skill provides comprehensive capabilities for building and maintaining startup metrics dashboards with key KPIs. It enables startups to track critical performance indicators, generate investor-ready reports, and make data-driven decisions using established frameworks like AARRR (Pirate Metrics) and North Star metrics.
11
12## Capabilities
13
14### Core Functions
15- **AARRR Pirate Metrics**: Calculate and track Acquisition, Activation, Retention, Referral, Revenue metrics
16- **North Star Tracking**: Define and track North Star metrics and supporting indicators
17- **MRR/ARR Dashboards**: Generate Monthly and Annual Recurring Revenue dashboards
18- **Growth Rate Calculation**: Calculate and visualize growth rates (WoW, MoM, YoY)
19- **Runway and Burn Tracking**: Track burn rate, runway, and cash position
20- **Cohort Visualizations**: Create cohort retention and revenue visualizations
21- **Investor Reports**: Generate investor-ready metrics reports
22- **Threshold Alerts**: Set up and manage metric threshold alerts
23
24### Advanced Features
25- Predictive metrics modeling
26- Benchmark comparisons by stage and sector
27- Metric correlation analysis
28- Leading vs lagging indicator tracking
29- Scenario modeling for metrics
30- Custom metric definitions
31- Data source integrations
32- Historical trend analysis
33
34## Usage
35
36### Input Requirements
37- Business model type (SaaS, marketplace, etc.)
38- Stage and funding status
39- Available data sources
40- Key business questions
41- Reporting frequency
42- Stakeholder requirements
43
44### Output Deliverables
45- Configured metrics dashboard
46- North Star metric definition
47- AARRR funnel visualization
48- MRR/ARR tracking charts
49- Cohort analysis tables
50- Runway projections
51- Investor-ready reports
52- Alert configurations
53
54### Process Integration
55This skill integrates with the following processes:
56- `financial-model-development.js` - Financial metrics integration
57- `product-market-fit-assessment.js` - PMF metrics tracking
58- `investor-update-communication.js` - Metrics reporting
59- `growth-experiment-design.js` - Experiment metrics
60
61### Example Invocation
62```
63Skill: startup-metrics
64Context: B2B SaaS startup Series A metrics dashboard
65Input:
66 - Model: B2B SaaS, monthly subscriptions
67 - Stage: Series A
68 - Data Sources: Stripe, Mixpanel, HubSpot
69 - North Star Candidate: Weekly Active Teams
70Output:
71 - Dashboard configuration
72 - Metrics definitions:
73 - MRR, ARR, growth rate
74 - CAC, LTV, LTV:CAC ratio
75 - Churn (logo and revenue)
76 - NRR, GRR
77 - Activation rate
78 - Time to value
79 - Cohort retention charts
80 - 18-month runway projection
81 - Weekly metrics email template
82```
83
84## Dependencies
85
86- Analytics platform integrations
87- Visualization libraries
88- Financial data connections
89- Alerting systems
90- Report generation tools
91
92## Best Practices
93
941. Define a clear North Star metric that aligns with business value
952. Track both leading indicators (predict future) and lagging indicators (confirm past)
963. Use cohort analysis to understand true retention patterns
974. Segment metrics by customer type, plan, or acquisition channel
985. Compare metrics to stage-appropriate benchmarks
996. Update dashboards in real-time or at minimum weekly
1007. Make metrics accessible to the whole team
1018. Focus on trends, not single data points
1029. Document metric definitions to ensure consistency
10310. Regularly review and retire metrics that don't drive decisions
10411. Prepare investor-ready metrics views in advance
10512. Track both absolute values and growth rates
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