View Outlier Alerts in My Summary
The outlier detection service analyzes a peer mentor's activity history and flags periods that deviate significantly from their rolling baseline. Within the periodic summary view, detected outliers are surfaced as a subtle contextual note (not an alarming alert) with a friendly explanation: e.g., 'This was one of your most active months — 40% above your usual pace!' or 'This month was quieter than usual. Is everything OK?'. The tone must remain supportive and non-judgmental, respecting the cognitive accessibility principles. Outliers in both directions (high and low activity) are handled.
User Story
Acceptance Criteria
- Given I have at least 3 months of activity history, when I view a periodic summary, then any outlier period is indicated with a contextual badge or note on the summary card
- Given an outlier is detected for the current period, when I read the outlier note, then the language is supportive and explanatory (not alarming) and mentions the direction of deviation (higher or lower than usual)
- Given I have fewer than 3 months of activity history, when I view my summary, then no outlier detection note is shown as there is insufficient baseline data
- Given the outlier note is displayed, when I am using a screen reader, then the note is read as part of the natural content flow and does not interrupt focus management
- Given an extremely low activity period is detected, when I view the note, then no punitive or guilt-inducing language is used — the tone remains encouraging and opens the door to coordinator contact
Business Value
Outlier detection helps peer mentors and coordinators identify burnout risk or disengagement early, before it leads to dropout. By surfacing unusual patterns in a non-judgmental way, the system enables proactive follow-up while respecting volunteer autonomy — directly addressing the 40% dissatisfaction with follow-up quality identified in HLF's internal survey.