Athlete interviews show why more data engagement is not always better

The customer problem is an analytics investment that athletes may find intrusive or overwhelming. Engage athlete representatives, sports performance, student support and the technology owner. Ask when athletes want information, who sees it, and what happens when a person declines a feature. A bounded engagement could examine one dashboard and conduct confidential usability sessions. The value hypothesis is a more usable service with clearer expectations, not a promise of improved mental health. Budget for participant support and independent facilitation where feasible. The study informs discovery questions but cannot establish how prevalent any concern is across other universities, divisions or sports.

Fit is evaluating the athlete-facing layer of existing analytics. Inventory raw and derived signals, recipient roles and downstream integrations before designing preference controls. Test display suppression, sharing restrictions and notifications separately so an interface choice does not falsely imply deletion. Prerequisites include an approved data map and meaningful explanations of model uncertainty. Use synthetic fixtures for permission tests and approved representative sessions for usability work. Proposed validation should compare task comprehension and perceived burden across interface variants; do not equate reduced dashboard use with failure. Cloud versus local deployment is secondary to enforceable data boundaries. Generative explanation features need separate factual and safety evaluation.

Assign a product owner in athletics and a confidential feedback lead who is outside selection decisions. Dependencies include athlete availability, support resources and cooperation from the platform vendor. Train coaches to interpret preferences without treating them as poor commitment. Governance checkpoints should review recruitment, usability findings and unexpected concerns before broader rollout. Proposed acceptance criteria include successful completion of all approved sharing-control tests, accurate participant explanation of who receives data, and resolution of critical usability issues. Record opt-outs and complaints without punitive escalation. Do not use this qualitative study to diagnose distress or infer clinical benefit; obtain specialist input when the proposed service crosses those boundaries.