Understanding Analytics
How to use analytics to measure and improve your mentorship program
Programs that measure outcomes consistently outperform those that run on gut feel. The Analytics page turns your program's raw activity into actionable signals, so you can double down on what's working, catch disengagement before it becomes attrition, and demonstrate concrete impact to stakeholders.
Date Range
Use the date range selector at the top to filter analytics by time period. Options include 7 days, 30 days, 90 days, and custom ranges.
Key Metrics
The analytics dashboard tracks:
- Engagement rate: Percentage of matches with recent activity. This is your program's vital sign. If it drops below 60%, investigate which pairs have gone quiet and reach out.
- Meeting frequency: Average meetings per match per month. Research shows that pairs meeting at least twice a month see significantly better outcomes. Use this metric to set expectations.
- Goal progress: How many goals are being created and completed. Low goal creation may mean mentees need help defining objectives, not that they lack motivation.
- Response time: Average time between messages in a conversation. Rising response times are an early warning sign of disengagement, often appearing weeks before a pair stops meeting entirely.
Trends
Charts show how your program metrics change over time. Look for:
- Growing engagement: Are more pairs meeting regularly?
- Goal completion trends: Are mentees achieving their objectives?
- Activity patterns: When are your members most active?
Tip
Compare different date ranges to spot seasonal patterns or measure the impact of program changes.
Exporting Data
Click Export to download analytics data as a CSV file for further analysis or reporting to stakeholders.
Acting on Your Insights
- Set a weekly review rhythm. Five minutes scanning the dashboard each week lets you intervene early instead of discovering problems at the end of a cohort.
- Use trends, not snapshots. A single week's dip isn't a crisis, but a three-week decline is a pattern. Compare date ranges to separate signal from noise.
- Connect metrics to actions. Low engagement rate? Reach out to quiet pairs. Low goal completion? Review whether your goals need adjustment. Every metric should map to a response.
- Share wins with stakeholders. When goal completion or engagement is trending up, export the data and share it. Visible impact is what secures continued investment in your program.