Preserve source truth
Tracker totals and reconciled manual attendance stay distinguishable. Combined figures are conservative rather than cosmetically perfect.
Turn messy operational evidence into decisions you can trust.
source-aware · reviewable · privacy-safe
Data model · reconciliation logic · analytics UX · privacy controls
Operational analytics
2026
The system needs to make the information useful without hiding uncertainty, inventing matches, or exposing private data to every browser that needs aggregate reporting.
Tracker totals and reconciled manual attendance stay distinguishable. Combined figures are conservative rather than cosmetically perfect.
High-confidence matches can count automatically; possible matches become review work; unreadable rows remain unresolved instead of guessed.
Bulk browser analytics omit direct contact details, exact birthdates, medical-alert contents, emergency contacts, and raw assistance questionnaire text.
Important aggregates are connected to records or source explanations so a decision-maker can understand why the number exists.
A single “perfect” attendance number would look cleaner but would be less truthful. The system keeps source differences and review queues explicit.
Have something complicated that needs to feel simple?