Coverage Compass
Medigap vs Medicare Advantage — decision support
Welcome Local

Pick the right structure (not a sales pitch).

This tool scores your preferences, risk tolerance, provider needs, and switching friction. It also warns you about irreversible choices.

What you’ll get
  • A recommendation (Medigap vs MA PPO vs MA HMO)
  • Lockout warnings + switching friction modeling (state-aware heuristics)
  • Assistance modeling (LIS / MSP / Medicaid) when relevant
  • Scenario simulator + churn risk modeling
  • Explanation trace + audit log (how the engine reasoned)
Privacy

Local-only by default. Nothing is sent to a server. Your answers live in your browser unless you export/share them.

Case Study — Coverage Compass

Short skim first. Then the medium story. Deep dive if you want the mechanics.

Skim (30–45 sec)

  • Broken frame: Most tools treat Medicare choice like shopping.
  • Why it fails: This is risk navigation across time with asymmetric consequences.
  • Reframe: "What happens if I'm wrong?" beats "what looks best today?"
  • System: A decision environment that surfaces tradeoffs + uncertainty + top drivers.
  • Signal: I build explainable, failure-aware systems that don’t pretend certainty.

Medium (2–3 min)

Most Medicare decision tools simplify the wrong thing. They optimize for what’s easy to compare (premium, perks) and hide what’s expensive to misunderstand (lock-in, switching asymmetry, downside risk).

Coverage Compass reframes the decision as constrained transitions under uncertainty. The UI is designed to show consequences, not just options — including what would change the recommendation and why.

The core design principle: treat failure modes as first-class UX. If the model can be wrong, the user should see where and how.

Deep dive →