Track, calculate, and optimize key performance metrics

Startup metrics framework

by wshobson · MIT license · ★ 39,857 on GitHub · v1.0.0 · updated Sep 21

Startup metrics framework cover

Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a…

---
name: startup-metrics-framework
description: Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.
version: 1.0.0
---

# Startup Metrics Framework

Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.

## Overview

Track the right metrics at the right stage. Focus on unit economics, growth efficiency, and cash management metrics that matter for fundraising and operational excellence.

## Universal Startup Metrics

### Revenue Metrics

Overview

Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.

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Startup Metrics Framework

Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.

Overview

Track the right metrics at the right stage. Focus on unit economics, growth efficiency, and cash management metrics that matter for fundraising and operational excellence.

Universal Startup Metrics

Revenue Metrics

MRR (Monthly Recurring Revenue)

MRR = Σ (Active Subscriptions × Monthly Price)

ARR (Annual Recurring Revenue)

ARR = MRR × 12

Growth Rate

MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR
YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR

Target Benchmarks:

  • Seed stage: 15-20% MoM growth
  • Series A: 10-15% MoM growth, 3-5x YoY
  • Series B+: 100%+ YoY (Rule of 40)
Unit Economics

CAC (Customer Acquisition Cost)

CAC = Total S&M Spend / New Customers Acquired

Include: Sales salaries, marketing spend, tools, overhead

LTV (Lifetime Value)

LTV = ARPU × Gross Margin% × (1 / Churn Rate)

Simplified:

LTV = ARPU × Average Customer Lifetime × Gross Margin%

LTV:CAC Ratio

LTV:CAC = LTV / CAC

Benchmarks:

  • LTV:CAC > 3.0 = Healthy
  • LTV:CAC 1.0-3.0 = Needs improvement
  • LTV:CAC < 1.0 = Unsustainable

CAC Payback Period

CAC Payback = CAC / (ARPU × Gross Margin%)

Benchmarks:

  • < 12 months = Excellent
  • 12-18 months = Good
  • 24 months = Concerning

Cash Efficiency Metrics

Burn Rate

Monthly Burn = Monthly Revenue - Monthly Expenses

Negative burn = losing money (typical early-stage)

Runway

Runway (months) = Cash Balance / Monthly Burn Rate

Target: Always maintain 12-18 months runway

Burn Multiple

Burn Multiple = Net Burn / Net New ARR

Benchmarks:

  • < 1.0 = Exceptional efficiency
  • 1.0-1.5 = Good
  • 1.5-2.0 = Acceptable
  • 2.0 = Inefficient

Lower is better (spending less to generate ARR)

SaaS Metrics

Revenue Composition

New MRR New customers × ARPU

Expansion MRR Upsells and cross-sells from existing customers

Contraction MRR Downgrades from existing customers

Churned MRR Lost customers

Net New MRR Formula:

Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
Retention Metrics

Logo Retention

Logo Retention = (Customers End - New Customers) / Customers Start

Dollar Retention (NDR - Net Dollar Retention)

NDR = (ARR Start + Expansion - Contraction - Churn) / ARR Start

Benchmarks:

  • NDR > 120% = Best-in-class
  • NDR 100-120% = Good
  • NDR < 100% = Needs work

Gross Retention

Gross Retention = (ARR Start - Churn - Contraction) / ARR Start

Benchmarks:

  • 90% = Excellent

  • 85-90% = Good
  • < 85% = Concerning
SaaS-Specific Metrics

Magic Number

Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)

Benchmarks:

  • 0.75 = Efficient, ready to scale

  • 0.5-0.75 = Moderate efficiency
  • < 0.5 = Inefficient, don't scale yet

Rule of 40

Rule of 40 = Revenue Growth Rate% + Profit Margin%

Benchmarks:

  • 40% = Excellent

  • 20-40% = Acceptable
  • < 20% = Needs improvement

Example: 50% growth + (10%) margin = 40% ✓

Quick Ratio

Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)

Benchmarks:

  • 4.0 = Healthy growth

  • 2.0-4.0 = Moderate
  • < 2.0 = Churn problem

Marketplace Metrics

GMV (Gross Merchandise Value)

Total Transaction Volume:

GMV = Σ (Transaction Value)

Growth Rate:

GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV

Target: 20%+ MoM early-stage

Take Rate
Take Rate = Net Revenue / GMV

Typical Ranges:

  • Payment processors: 2-3%
  • E-commerce marketplaces: 10-20%
  • Service marketplaces: 15-25%
  • High-value B2B: 5-15%
Marketplace Liquidity

Time to Transaction How long from listing to sale/match?

Fill Rate % of requests that result in transaction

Repeat Rate % of users who transact multiple times

Benchmarks:

  • Fill rate > 80% = Strong liquidity
  • Repeat rate > 60% = Strong retention
Marketplace Balance

Supply/Demand Ratio: Track relative growth of supply and demand sides.

Warning Signs:

  • Too much supply: Low fill rates, frustrated suppliers
  • Too much demand: Long wait times, frustrated customers

Goal: Balanced growth (1:1 ratio ideal, but varies by model)

Consumer/Mobile Metrics

Engagement Metrics

DAU (Daily Active Users) Unique users active each day

MAU (Monthly Active Users) Unique users active each month

DAU/MAU Ratio

DAU/MAU = DAU / MAU

Benchmarks:

  • 50% = Exceptional (daily habit)

  • 20-50% = Good
  • < 20% = Weak engagement

Session Frequency Average sessions per user per day/week

Session Duration Average time spent per session

Retention Curves

Day 1 Retention: % users who return next day Day 7 Retention: % users active 7 days after signup Day 30 Retention: % users active 30 days after signup

Benchmarks (Day 30):

  • 40% = Excellent

  • 25-40% = Good
  • < 25% = Weak

Retention Curve Shape:

  • Flattening curve = good (users becoming habitual)
  • Steep decline = poor product-market fit
Viral Coefficient (K-Factor)
K-Factor = Invites per User × Invite Conversion Rate

Example: 10 invites/user × 20% conversion = 2.0 K-factor

Benchmarks:

  • K > 1.0 = Viral growth
  • K = 0.5-1.0 = Strong referrals
  • K < 0.5 = Weak virality

B2B Metrics

Sales Efficiency

Win Rate

Win Rate = Deals Won / Total Opportunities

Target: 20-30% for new sales team, 30-40% mature

Sales Cycle Length Average days from opportunity to close

Shorter is better:

  • SMB: 30-60 days
  • Mid-market: 60-120 days
  • Enterprise: 120-270 days

Average Contract Value (ACV)

ACV = Total Contract Value / Contract Length (years)
Pipeline Metrics

Pipeline Coverage

Pipeline Coverage = Total Pipeline Value / Quota

Target: 3-5x coverage (3-5x pipeline needed to hit quota)

Conversion Rates by Stage:

  • Lead → Opportunity: 10-20%
  • Opportunity → Demo: 50-70%
  • Demo → Proposal: 30-50%
  • Proposal → Close: 20-40%

Metrics by Stage

Pre-Seed (Product-Market Fit)

Focus Metrics:

  1. Active users growth
  2. User retention (Day 7, Day 30)
  3. Core engagement (sessions, features used)
  4. Qualitative feedback (NPS, interviews)

Don't worry about:

  • Revenue (may be zero)
  • CAC (not optimizing yet)
  • Unit economics
Seed ($500K-$2M ARR)

Focus Metrics:

  1. MRR growth rate (15-20% MoM)
  2. CAC and LTV (establish baseline)
  3. Gross retention (> 85%)
  4. Core product engagement

Start tracking:

  • Sales efficiency
  • Burn rate and runway
Series A ($2M-$10M ARR)

Focus Metrics:

  1. ARR growth (3-5x YoY)
  2. Unit economics (LTV:CAC > 3, payback < 18 months)
  3. Net dollar retention (> 100%)
  4. Burn multiple (< 2.0)
  5. Magic number (> 0.5)

Mature tracking:

  • Rule of 40
  • Sales efficiency
  • Pipeline coverage

Metric Tracking Best Practices

Data Infrastructure

Requirements:

  • Single source of truth (analytics platform)
  • Real-time or daily updates
  • Automated calculations
  • Historical tracking

Tools:

  • Mixpanel, Amplitude (product analytics)
  • ChartMogul, Baremetrics (SaaS metrics)
  • Looker, Tableau (BI dashboards)
Reporting Cadence

Daily:

  • MRR, active users
  • Sign-ups, conversions

Weekly:

  • Growth rates
  • Retention cohorts
  • Sales pipeline

Monthly:

  • Full metric suite
  • Board reporting
  • Investor updates

Quarterly:

  • Trend analysis
  • Benchmarking
  • Strategy review
Common Mistakes

Mistake 1: Vanity Metrics Don't focus on:

  • Total users (without retention)
  • Page views (without engagement)
  • Downloads (without activation)

Focus on actionable metrics tied to value.

Mistake 2: Too Many Metrics Track 5-7 core metrics intensely, not 50 loosely.

Mistake 3: Ignoring Unit Economics CAC and LTV are critical even at seed stage.

Mistake 4: Not Segmenting Break down metrics by customer segment, channel, cohort.

Mistake 5: Gaming Metrics Optimize for real business outcomes, not dashboard numbers.

Investor Metrics

What VCs Want to See

Seed Round:

  • MRR growth rate
  • User retention
  • Early unit economics
  • Product engagement

Series A:

  • ARR and growth rate
  • CAC payback < 18 months
  • LTV:CAC > 3.0
  • Net dollar retention > 100%
  • Burn multiple < 2.0

Series B+:

  • Rule of 40 > 40%
  • Efficient growth (magic number)
  • Path to profitability
  • Market leadership metrics
Metric Presentation

Dashboard Format:

Current MRR: $250K (↑ 18% MoM)
ARR: $3.0M (↑ 280% YoY)
CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x
NDR: 112% | Logo Retention: 92%
Burn: $180K/mo | Runway: 18 months

Include:

  • Current value
  • Growth rate or trend
  • Context (target, benchmark)

Quick Start

To implement startup metrics framework:

  1. Identify business model - SaaS, marketplace, consumer, B2B
  2. Choose 5-7 core metrics - Based on stage and model
  3. Establish tracking - Set up analytics and dashboards
  4. Calculate unit economics - CAC, LTV, payback
  5. Set targets - Use benchmarks for goals
  6. Review regularly - Weekly for core metrics
  7. Share with team - Align on goals and progress
  8. Update investors - Monthly/quarterly reporting
1---
2name: startup-metrics-framework
3description: Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.
4version: 1.0.0
5---
6 
7# Startup Metrics Framework
8 
9Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.
10 
11## Overview
12 
13Track the right metrics at the right stage. Focus on unit economics, growth efficiency, and cash management metrics that matter for fundraising and operational excellence.
14 
15## Universal Startup Metrics
16 
17### Revenue Metrics
18 
19**MRR (Monthly Recurring Revenue)**
20 
21```
22MRR = Σ (Active Subscriptions × Monthly Price)
23```
24 
25**ARR (Annual Recurring Revenue)**
26 
27```
28ARR = MRR × 12
29```
30 
31**Growth Rate**
32 
33```
34MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR
35YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR
36```
37 
38**Target Benchmarks:**
39 
40- Seed stage: 15-20% MoM growth
41- Series A: 10-15% MoM growth, 3-5x YoY
42- Series B+: 100%+ YoY (Rule of 40)
43 
44### Unit Economics
45 
46**CAC (Customer Acquisition Cost)**
47 
48```
49CAC = Total S&M Spend / New Customers Acquired
50```
51 
52Include: Sales salaries, marketing spend, tools, overhead
53 
54**LTV (Lifetime Value)**
55 
56```
57LTV = ARPU × Gross Margin% × (1 / Churn Rate)
58```
59 
60Simplified:
61 
62```
63LTV = ARPU × Average Customer Lifetime × Gross Margin%
64```
65 
66**LTV:CAC Ratio**
67 
68```
69LTV:CAC = LTV / CAC
70```
71 
72**Benchmarks:**
73 
74- LTV:CAC > 3.0 = Healthy
75- LTV:CAC 1.0-3.0 = Needs improvement
76- LTV:CAC < 1.0 = Unsustainable
77 
78**CAC Payback Period**
79 
80```
81CAC Payback = CAC / (ARPU × Gross Margin%)
82```
83 
84**Benchmarks:**
85 
86- < 12 months = Excellent
87- 12-18 months = Good
88- > 24 months = Concerning
89 
90### Cash Efficiency Metrics
91 
92**Burn Rate**
93 
94```
95Monthly Burn = Monthly Revenue - Monthly Expenses
96```
97 
98Negative burn = losing money (typical early-stage)
99 
100**Runway**
101 
102```
103Runway (months) = Cash Balance / Monthly Burn Rate
104```
105 
106**Target:** Always maintain 12-18 months runway
107 
108**Burn Multiple**
109 
110```
111Burn Multiple = Net Burn / Net New ARR
112```
113 
114**Benchmarks:**
115 
116- < 1.0 = Exceptional efficiency
117- 1.0-1.5 = Good
118- 1.5-2.0 = Acceptable
119- > 2.0 = Inefficient
120 
121Lower is better (spending less to generate ARR)
122 
123## SaaS Metrics
124 
125### Revenue Composition
126 
127**New MRR**
128New customers × ARPU
129 
130**Expansion MRR**
131Upsells and cross-sells from existing customers
132 
133**Contraction MRR**
134Downgrades from existing customers
135 
136**Churned MRR**
137Lost customers
138 
139**Net New MRR Formula:**
140 
141```
142Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
143```
144 
145### Retention Metrics
146 
147**Logo Retention**
148 
149```
150Logo Retention = (Customers End - New Customers) / Customers Start
151```
152 
153**Dollar Retention (NDR - Net Dollar Retention)**
154 
155```
156NDR = (ARR Start + Expansion - Contraction - Churn) / ARR Start
157```
158 
159**Benchmarks:**
160 
161- NDR > 120% = Best-in-class
162- NDR 100-120% = Good
163- NDR < 100% = Needs work
164 
165**Gross Retention**
166 
167```
168Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
169```
170 
171**Benchmarks:**
172 
173- > 90% = Excellent
174- 85-90% = Good
175- < 85% = Concerning
176 
177### SaaS-Specific Metrics
178 
179**Magic Number**
180 
181```
182Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
183```
184 
185**Benchmarks:**
186 
187- > 0.75 = Efficient, ready to scale
188- 0.5-0.75 = Moderate efficiency
189- < 0.5 = Inefficient, don't scale yet
190 
191**Rule of 40**
192 
193```
194Rule of 40 = Revenue Growth Rate% + Profit Margin%
195```
196 
197**Benchmarks:**
198 
199- > 40% = Excellent
200- 20-40% = Acceptable
201- < 20% = Needs improvement
202 
203**Example:**
20450% growth + (10%) margin = 40% ✓
205 
206**Quick Ratio**
207 
208```
209Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
210```
211 
212**Benchmarks:**
213 
214- > 4.0 = Healthy growth
215- 2.0-4.0 = Moderate
216- < 2.0 = Churn problem
217 
218## Marketplace Metrics
219 
220### GMV (Gross Merchandise Value)
221 
222**Total Transaction Volume:**
223 
224```
225GMV = Σ (Transaction Value)
226```
227 
228**Growth Rate:**
229 
230```
231GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV
232```
233 
234**Target:** 20%+ MoM early-stage
235 
236### Take Rate
237 
238```
239Take Rate = Net Revenue / GMV
240```
241 
242**Typical Ranges:**
243 
244- Payment processors: 2-3%
245- E-commerce marketplaces: 10-20%
246- Service marketplaces: 15-25%
247- High-value B2B: 5-15%
248 
249### Marketplace Liquidity
250 
251**Time to Transaction**
252How long from listing to sale/match?
253 
254**Fill Rate**
255% of requests that result in transaction
256 
257**Repeat Rate**
258% of users who transact multiple times
259 
260**Benchmarks:**
261 
262- Fill rate > 80% = Strong liquidity
263- Repeat rate > 60% = Strong retention
264 
265### Marketplace Balance
266 
267**Supply/Demand Ratio:**
268Track relative growth of supply and demand sides.
269 
270**Warning Signs:**
271 
272- Too much supply: Low fill rates, frustrated suppliers
273- Too much demand: Long wait times, frustrated customers
274 
275**Goal:** Balanced growth (1:1 ratio ideal, but varies by model)
276 
277## Consumer/Mobile Metrics
278 
279### Engagement Metrics
280 
281**DAU (Daily Active Users)**
282Unique users active each day
283 
284**MAU (Monthly Active Users)**
285Unique users active each month
286 
287**DAU/MAU Ratio**
288 
289```
290DAU/MAU = DAU / MAU
291```
292 
293**Benchmarks:**
294 
295- > 50% = Exceptional (daily habit)
296- 20-50% = Good
297- < 20% = Weak engagement
298 
299**Session Frequency**
300Average sessions per user per day/week
301 
302**Session Duration**
303Average time spent per session
304 
305### Retention Curves
306 
307**Day 1 Retention:** % users who return next day
308**Day 7 Retention:** % users active 7 days after signup
309**Day 30 Retention:** % users active 30 days after signup
310 
311**Benchmarks (Day 30):**
312 
313- > 40% = Excellent
314- 25-40% = Good
315- < 25% = Weak
316 
317**Retention Curve Shape:**
318 
319- Flattening curve = good (users becoming habitual)
320- Steep decline = poor product-market fit
321 
322### Viral Coefficient (K-Factor)
323 
324```
325K-Factor = Invites per User × Invite Conversion Rate
326```
327 
328**Example:**
32910 invites/user × 20% conversion = 2.0 K-factor
330 
331**Benchmarks:**
332 
333- K > 1.0 = Viral growth
334- K = 0.5-1.0 = Strong referrals
335- K < 0.5 = Weak virality
336 
337## B2B Metrics
338 
339### Sales Efficiency
340 
341**Win Rate**
342 
343```
344Win Rate = Deals Won / Total Opportunities
345```
346 
347**Target:** 20-30% for new sales team, 30-40% mature
348 
349**Sales Cycle Length**
350Average days from opportunity to close
351 
352**Shorter is better:**
353 
354- SMB: 30-60 days
355- Mid-market: 60-120 days
356- Enterprise: 120-270 days
357 
358**Average Contract Value (ACV)**
359 
360```
361ACV = Total Contract Value / Contract Length (years)
362```
363 
364### Pipeline Metrics
365 
366**Pipeline Coverage**
367 
368```
369Pipeline Coverage = Total Pipeline Value / Quota
370```
371 
372**Target:** 3-5x coverage (3-5x pipeline needed to hit quota)
373 
374**Conversion Rates by Stage:**
375 
376- Lead → Opportunity: 10-20%
377- Opportunity → Demo: 50-70%
378- Demo → Proposal: 30-50%
379- Proposal → Close: 20-40%
380 
381## Metrics by Stage
382 
383### Pre-Seed (Product-Market Fit)
384 
385**Focus Metrics:**
386 
3871. Active users growth
3882. User retention (Day 7, Day 30)
3893. Core engagement (sessions, features used)
3904. Qualitative feedback (NPS, interviews)
391 
392**Don't worry about:**
393 
394- Revenue (may be zero)
395- CAC (not optimizing yet)
396- Unit economics
397 
398### Seed ($500K-$2M ARR)
399 
400**Focus Metrics:**
401 
4021. MRR growth rate (15-20% MoM)
4032. CAC and LTV (establish baseline)
4043. Gross retention (> 85%)
4054. Core product engagement
406 
407**Start tracking:**
408 
409- Sales efficiency
410- Burn rate and runway
411 
412### Series A ($2M-$10M ARR)
413 
414**Focus Metrics:**
415 
4161. ARR growth (3-5x YoY)
4172. Unit economics (LTV:CAC > 3, payback < 18 months)
4183. Net dollar retention (> 100%)
4194. Burn multiple (< 2.0)
4205. Magic number (> 0.5)
421 
422**Mature tracking:**
423 
424- Rule of 40
425- Sales efficiency
426- Pipeline coverage
427 
428## Metric Tracking Best Practices
429 
430### Data Infrastructure
431 
432**Requirements:**
433 
434- Single source of truth (analytics platform)
435- Real-time or daily updates
436- Automated calculations
437- Historical tracking
438 
439**Tools:**
440 
441- Mixpanel, Amplitude (product analytics)
442- ChartMogul, Baremetrics (SaaS metrics)
443- Looker, Tableau (BI dashboards)
444 
445### Reporting Cadence
446 
447**Daily:**
448 
449- MRR, active users
450- Sign-ups, conversions
451 
452**Weekly:**
453 
454- Growth rates
455- Retention cohorts
456- Sales pipeline
457 
458**Monthly:**
459 
460- Full metric suite
461- Board reporting
462- Investor updates
463 
464**Quarterly:**
465 
466- Trend analysis
467- Benchmarking
468- Strategy review
469 
470### Common Mistakes
471 
472**Mistake 1: Vanity Metrics**
473Don't focus on:
474 
475- Total users (without retention)
476- Page views (without engagement)
477- Downloads (without activation)
478 
479Focus on actionable metrics tied to value.
480 
481**Mistake 2: Too Many Metrics**
482Track 5-7 core metrics intensely, not 50 loosely.
483 
484**Mistake 3: Ignoring Unit Economics**
485CAC and LTV are critical even at seed stage.
486 
487**Mistake 4: Not Segmenting**
488Break down metrics by customer segment, channel, cohort.
489 
490**Mistake 5: Gaming Metrics**
491Optimize for real business outcomes, not dashboard numbers.
492 
493## Investor Metrics
494 
495### What VCs Want to See
496 
497**Seed Round:**
498 
499- MRR growth rate
500- User retention
501- Early unit economics
502- Product engagement
503 
504**Series A:**
505 
506- ARR and growth rate
507- CAC payback < 18 months
508- LTV:CAC > 3.0
509- Net dollar retention > 100%
510- Burn multiple < 2.0
511 
512**Series B+:**
513 
514- Rule of 40 > 40%
515- Efficient growth (magic number)
516- Path to profitability
517- Market leadership metrics
518 
519### Metric Presentation
520 
521**Dashboard Format:**
522 
523```
524Current MRR: $250K (↑ 18% MoM)
525ARR: $3.0M (↑ 280% YoY)
526CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x
527NDR: 112% | Logo Retention: 92%
528Burn: $180K/mo | Runway: 18 months
529```
530 
531**Include:**
532 
533- Current value
534- Growth rate or trend
535- Context (target, benchmark)
536 
537 
538## Quick Start
539 
540To implement startup metrics framework:
541 
5421. **Identify business model** - SaaS, marketplace, consumer, B2B
5432. **Choose 5-7 core metrics** - Based on stage and model
5443. **Establish tracking** - Set up analytics and dashboards
5454. **Calculate unit economics** - CAC, LTV, payback
5465. **Set targets** - Use benchmarks for goals
5476. **Review regularly** - Weekly for core metrics
5487. **Share with team** - Align on goals and progress
5498. **Update investors** - Monthly/quarterly reporting
550 
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Details

Version
1.0.0
Updated
Sep 21, 2026
License
MIT
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MCP3-5 days | Agents: 6 | Gate Keepers: DevOps Automator +⚙️ Phase 2 Playbook — Foundation & Scaffoldingmsitarzewski/agency-agents · by msitarzewski> Duration: 3-5 days | Agents: 6 | Gate Keepers: DevOps Automator + Evidence Collector★ 154k GitHub starsMCPNEXUS transforms The Agency's independent AI specialists🌐 NEXUS — Network of EXperts, Unified in Strategymsitarzewski/agency-agents · by msitarzewski> NEXUS transforms The Agency's independent AI specialists into a synchronized intelligence network. This is not a prompt collection — it…★ 154k GitHub starsSkillGenerate an Ansoff Matrix analysis mapping growth strategiesphuryn/pm-skills · by phurynGenerate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.★ 26.6k GitHub starsSkillSurvey any codebase as a senior advisorImproveshadcn/improve · by shadcnSurvey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on source code — never implements, fixes, or refactors anything itself. Use when asked to audit a codebase, find improvement opportunities (bugs, security, performance, test coverage, tech debt, migrations, DX), suggest features or where to take the project next (roadmap, product direction), or generate handoff plans for another agent to implement.★ 9.2k GitHub starsSkillTranslate skills from one industry to anotherCareer changer translatorParamchoudhary/ResumeSkills · by ParamchoudharyTranslate skills from one industry to another, identify transferable skills★ 2.4k GitHub starsSkillA collection of 37 battle-tested marketing skillsOpenClaw Marketing SkillsLeoYeAI/openclaw-marketing-skills · by LeoYeAIA collection of 37 battle-tested marketing skills for OpenClaw agents. Use when you want to install or reference any marketing skill including: CRO (page-cro, signup-flow-cro, onboarding-cro, form-cro, popup-cro, paywall-upgrade-cro), copywriting, copy-editing, cold-email, email-sequence, social-content, seo-audit, ai-seo, programmatic-seo, site-architecture, schema-markup, content-strategy, paid-ads, ad-creative, ab-test-setup, analytics-tracking, referral-program, free-tool-strategy, churn-prevention, revops, sales-enablement, launch-strategy, pricing-strategy, competitor-alternatives, marketing-ideas, marketing-psychology, lead-magnets, product-marketing-context, and data connectors (google-ads-connect, search-console-connect, meta-ads-connect, x-twitter-connect). Start with product-marketing-context to set up your product context document, then use any other skill naturally. Powered by MyClaw.ai.★ 1k GitHub stars

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SkillMaster C/.NET backend development patterns for buildingwshobson/agents · by wshobsonMaster C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.★ 39.9k GitHub starsSkillImplement WCAG 2.2 compliant interfaces with mobileAccessibility compliancewshobson/agents · by wshobsonImplement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.★ 39.9k GitHub starsSkillMaster Material Design 3 and Jetpack Compose patternsAndroid Mobile Designwshobson/agents · by wshobsonMaster Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.★ 39.9k GitHub starsSkillMigrate from AngularJS to Angular using hybrid modeAngular migrationwshobson/agents · by wshobsonMigrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.★ 39.9k GitHub starsSkillUnderstand anti-reversing, obfuscationAnti reversing techniqueswshobson/agents · by wshobsonUnderstand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.★ 39.9k GitHub starsSkillBuild production Apache Airflow DAGs with best practicesApache Airflow DAG Patternswshobson/agents · by wshobsonBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.★ 39.9k GitHub stars