Skool Community Health Score Example

A framework for measuring whether your Skool community is healthy, growing, or declining. Use this health score system to make data-driven decisions about where to focus your community management efforts.


Why Measure Community Health

Most community owners rely on gut feeling: “The community feels quiet” or “Things seem to be going well.” A health score replaces guesswork with a systematic framework that tells you:


The Community Health Score Framework

The health score is made up of 5 pillars, each scored 0–20, for a total score of 0–100.

Pillar What It Measures Max Score
Engagement Are members actively participating? 20
Retention Are members staying and coming back? 20
Activation Are new members getting engaged quickly? 20
Growth Is the community growing? 20
Depth Are interactions meaningful? 20

Total possible score: 100


Pillar 1: Engagement (0–20)

Metrics

Metric How to Calculate
Weekly active members (WAM) Members who posted or commented in past 7 days
WAM % WAM / Total members × 100
Posts per week Total posts in past 7 days
Comments per post Total comments / Total posts

Scoring

WAM % Score
40%+ 20
30–39% 16
20–29% 12
10–19% 8
Under 10% 4

Pillar 2: Retention (0–20)

Metrics

Metric How to Calculate
Monthly retention rate Members active this month who were active last month / Total active last month
30-day churn rate Members who left in past 30 days / Total members at start
Return rate Members who were inactive last week but active this week

Scoring

Monthly Retention Score
90%+ 20
80–89% 16
70–79% 12
60–69% 8
Under 60% 4

Pillar 3: Activation (0–20)

Metrics

Metric How to Calculate
7-day activation rate New members who posted within 7 days / All new members
Time to first post Average days from joining to first post/comment
Onboarding completion Members who completed intro + first action / All new members

Scoring

7-Day Activation Rate Score
70%+ 20
55–69% 16
40–54% 12
25–39% 8
Under 25% 4

Pillar 4: Growth (0–20)

Metrics

Metric How to Calculate
Net member growth New members - Churned members (this month)
Growth rate Net growth / Total members at start × 100
Referral rate Members who joined via existing member referral

Scoring

Monthly Growth Rate Score
10%+ 20
5–9% 16
1–4% 12
0% (flat) 8
Negative (shrinking) 4

Pillar 5: Depth (0–20)

Metrics

Metric How to Calculate
Avg comments per discussion Total comments / Total discussion posts
Member-to-member interactions Comments where members reply to each other (not just the owner)
Content completion rate Classroom modules completed / Total enrolled

Scoring

Avg Comments/Discussion Score
10+ 20
7–9 16
4–6 12
2–3 8
Under 2 4

Health Score Interpretation

Total Score Rating Status
80–100 Excellent Thriving community, keep doing what works
60–79 Good Healthy but with areas to improve
40–59 Fair Some concerning trends, take action now
20–39 Poor Significant issues, needs urgent attention
0–19 Critical Community is at risk of dying

Example Health Score Calculation

Community: 200 members, 6 months old

Pillar Data Score
Engagement 22% WAM (44 active members/week) 12
Retention 82% monthly retention 16
Activation 55% of new members post in first week 16
Growth 7% monthly growth 16
Depth 5 comments per discussion average 12

Total Health Score: 72/100 (Good)

Analysis: This community is healthy overall. Engagement and depth are the weakest areas — focus on creating more discussion-driving content and prompting member-to-member interaction.


Action Plans by Score

Score 80–100: Optimize

Score 60–79: Strengthen

Score 40–59: Intervene

Score 20–39: Emergency


Tracking Over Time

Record your health score weekly:

Week Engagement Retention Activation Growth Depth Total
W1            
W2            
W3            
W4            

Look for trends, not individual data points. A score going from 62 to 58 over 4 weeks is a warning sign even though both scores are “Good.”


Automating Health Tracking

Calculating these metrics manually requires pulling data from Skool’s analytics, counting active members, tracking retention cohorts, and maintaining a spreadsheet.

For a faster approach, StickyHive provides automated community health monitoring that calculates engagement rates, flags at-risk members, and tracks retention trends without manual data collection.