Understanding Analytics

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 report program activity 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 12 months. The page has two tabs: Overview and Leadership Readiness.

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). Compare this metric with the cadence each pair agreed. Review missed meetings and participant feedback before changing the schedule.
• 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

Detail Cards

Further down the Overview tab, four cards break the numbers down:

• Goal Progress: percent completed and in progress, average completion time, milestones, and stalled and abandoned goals
• Match Outcomes: success, failure, and dropout rates, and average match duration. This card shows a message until some matches have concluded.
• Engagement: meeting attendance rate, meetings per match, messages per match, days between meetings, and average and median days to the first meeting
• Program Health: mentor utilization and mentee wait time. It adds Cross-functional matches when DEI tracking is on (Growth plan and above).

The Program Health Review (Last 90 Days) card at the bottom shows mentoring hours, meetings held, goals completed, active matches, and mentor engagement. It flags mentors who have not had a session in three or more weeks.

Leadership Readiness

Open the Leadership Readiness tab on the Analytics page for a per-participant rollup: goal velocity, skill lift, badges earned, and mentoring tenure, in one table. Use it to identify who is ready for more responsibility, and to back that call with evidence instead of gut feel.

Program admins can see each member's progress metrics, including goals completed, skill growth, badges, and mentoring tenure. Participants see their own numbers on their Portfolio.

Each row shows:

• Goals Completed and Avg Completion (days): how many goals a participant has finished, and how quickly
• Skills Improved and Avg Level Gain: how many of their tracked skills moved up a level, and by how much on average
• Badges: every badge earned, mentor and mentee badges both
• Tenure Since: when the participant's first match began
• Active and Completed: their current and past match counts

Filter by role, badge, or minimum goals completed, or search by name or email. This tab covers all time and ignores the date range.

Exporting Data

Click Export on the Overview tab to download analytics data for the selected date range as a Markdown report for further analysis or reporting to stakeholders (Starter and above).

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.