Context
Before booking an appointment, many people first want to know whether a given step even applies to them: a surgery, a loan, an application, an insurance policy. The simulators available online often disappoint, because they apply generic rules, hide the result behind an email capture form, or ask the wrong questions. An unreliable answer misleads in both directions: it falsely reassures people who will be turned down, and it wrongly discourages excellent candidates.
Operational Challenge
- Poorly qualified requests: A share of appointments is booked by people who do not meet the basic criteria, clogging the experts’ schedule.
- Tacit rules: The real decision criteria live in the expert’s head and are written down nowhere in a usable form.
- Risk of over-promising: A public-facing tool that decides in the expert’s place carries liability, especially in the medical field.
- Distrust around data: Visitors hesitate to answer personal questions when they know their answers are sent off to a server.
Solution Architecture
The eligibility simulator fits into a handful of on-screen questions, yet every threshold comes from the expert themselves, refined over several rounds until it reflects their actual practice. The result is guidance per option, on three levels, never a verdict: every screen reminds the visitor that only the full examination decides. Edge cases get a dedicated answer rather than a distorted result, and the entire computation runs in the visitor’s browser: no answer is ever transmitted or stored.
Safeguards and human validation:
- The expert stays in control of the rules: every threshold is validated by them and adjustable as their practice evolves.
- The tool guides without diagnosing: cautious wording and warnings are part of the design.
- Whatever the questionnaire cannot assess reliably is explicitly referred back to an examination by the expert.
Rollout Plan
- Calibration workshop: Formalize the expert’s real rules and their edge cases in a few working sessions.
- Prototype and corrections: Test a first version of the engine against real cases and refine the thresholds.
- Publication: Integrate the simulator into the website, in the language and tone of your communication.
- Continuous improvement: Track abandoned journeys and adjust the wording of questions and results.
Measurable Impact
- Better-qualified incoming requests and more relevant appointments.
- Fewer consultations spent on people outside the criteria.
- Stronger visitor trust thanks to the instant result and full privacy.
- Expert rules documented and reusable instead of remaining implicit.
Next Step
Expert know-how can become an honest guidance tool, in medicine and beyond. Contact us to discuss your context and pilot options.