Understanding Analytics

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 time-range tabs at the top to filter analytics by time period. Options are 7 days, 30 days, 90 days, and All time.

Core Metrics

The analytics dashboard surfaces three headline numbers:

• Active Matches: The count of currently active mentoring pairs. This is your program's vital sign: if it's declining, investigate whether pairs have gone quiet or are ending early.
• Meeting Frequency: Average meetings per match per month, expressed as a rate (e.g. 3.23/mo). Research shows that pairs meeting at least twice a month see significantly better outcomes. Use this metric to set expectations.
• Goal Completion: The percentage of goals that have been marked complete. Low completion may mean mentees need help defining achievable objectives, not that they lack motivation.

Program Activity

The Program Activity chart tracks meetings held, goals completed, and matches created over the selected date range. Look for:

• Growing meetings held: Are more pairs meeting regularly?
• Goal completion trends: Are mentees achieving their objectives?
• Match creation spikes: Do these align with cohort launches or enrollment pushes?

Member Pipeline

Below the chart, the Member Pipeline section shows:

• Total Members: The total headcount enrolled in the program
• Pending Invitations: Invitations that have been sent but not yet accepted
• Acceptance Rate: The percentage of sent invitations that have been accepted

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.