Tool Sprawl Risk Audit — mHealth Apps

Find out how much spreadsheet and SaaS sprawl is costing mHealth Apps — and where a purpose-built internal tool pays off.

Signs of tool sprawl in mHealth Apps

Daily active use is the platform-level KPI — mHealth apps live or die on whether the user opens the app daily for the behavior the app is supposed to drive (logging, tracking, journaling, exercising), and the behavioral economics of habit formation are brutal.
HIPAA posture is non-negotiable for any app touching PHI — the BAA chain, the encryption requirements, the access controls, the audit logging, and the breach notification infrastructure are the floor, not the ceiling, and most consumer-app teams are not staffed for it.
App store distribution and ATT have changed the unit economics — paid acquisition is more expensive, attribution is degraded, and the LTV-to-CAC math has to work against a backdrop where the average mobile-app retention curve drops 80% in the first 30 days.
Reimbursement and prescription-pathway monetization is hard — digital therapeutics, employer benefits, and Medicare reimbursement pathways all have meaningful operational complexity, and the founder's vision of 'we'll get reimbursed' rarely matches the operational reality.

Section 1 of 4 · Source of Truth0/8 answered

Source of Truth

Whether your operational data lives in one place or is scattered across tools.

1.Where does your core operational data live?

2.How many tools/spreadsheets hold 'the truth' for one workflow?

Send us the result and the constraint behind it. We’ll scope the diagnostic, sprint, or build that fixes what the score reveals.