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Conversational intake replacing the long form

Your patient came to start a weight-medication program and hit a wall of yes/no questions; let them have a conversation instead, and hand the clinician a clean packet at the end.

Close the loopNext best thingBehavioral triggerChatWhatsAppVoiceIn-appGLP-1 & PeptidesHealth & Telehealth

What it does

A motivated patient lands on a GLP-1 program and the first thing in front of them is a long eligibility questionnaire — a run of yes/no/yes/no clicks that has to be finished before anything happens. The long form is the single biggest friction point at the front of the funnel, and the patient who quits it is one who had already decided to try. Instead of asking the patient to grind through the form, the agent turns the whole intake into a conversation — in chat, on WhatsApp, or as a voice or avatar exchange — gathers the same clinically required answers without the click-fatigue, and hands the clinician a clean structured packet at the end. Same data the form would have collected, far less drop-off at the gate.

How it works

  1. 1
    Trigger. a visitor opens the program's start flow or taps "see if this is right for me"; the agent opens an intake conversation rather than rendering the questionnaire.
  2. 2
    Decision. the agent works through the validated clinical intake logic as a dialogue — asking what each step needs in plain language, skipping branches the answers have already closed, and recalling anything already known so nothing is asked twice. It runs the eligibility logic as the answers arrive.
  3. 3
    Action. the patient answers conversationally and gets mid-flow worries handled in place; at the end the agent assembles every answer into a structured packet and pre-fills the clinical record, so the clinician opens a complete, ordered case rather than a half-finished web form.
  4. 4
    Follow-through. the completed packet writes back to the clinical record for clinician review; a patient who drifts away mid-conversation is handed to the intake-recovery play; nothing is presented as a clinical decision — eligibility is screened and routed, the clinician decides.
Example
AgentRather than send you through a long form, let's just talk it through — it takes a few minutes. To start: have you used a prescription weight medication before, and how did it go?
CustomerI tried one last year, stopped because of the cost. Does that count against me?
AgentNot at all — prior use is useful for your clinician, not a mark against you. I'll note it with the details and carry it into your file, so you won't repeat any of this later. A couple more and your clinician has everything they need.

Configuration

How the agent is wired for this use case.

Triggeran intake_started event when a visitor opens the start flow or taps an eligibility entry point on web, in-app, a messaging channel, or a voice line.
Tools & actions
  • Messaging channel · run the full intake as a conversation (chat, WhatsApp, voice, or in-app), answering doubts in place.
  • Knowledge base · order the questions from the validated clinical intake logic and skip branches the answers have ruled out.
  • Clinical/EHR system · assemble answers into a structured packet and pre-fill the clinical record for clinician review.
  • Scheduling system · offer eligible patients a consultation slot while intent is still warm.
  • CRM · record intake progress and hand a drifting patient to the recovery play.
Autonomyquestion-ordering, eligibility screening, and packet write-back run unattended inside the validated intake logic; the agent gives no clinical advice beyond it and makes no eligibility ruling — every screened case is surfaced for the clinician to decide. Clinical = detect and route, never diagnose or advise a dose.
Channelschat · whatsapp · voice · in-app
Escalationa contraindication flag, an answer outside the intake logic, or any clinical question routes to the clinician with the packet attached; a patient who drifts mid-conversation goes to the intake-recovery play.

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

intake_started, per-answer events, intake_completed, plus the entry points (web, in-app, WhatsApp, voice) where intake can begin.

Data

the clinical intake question logic and eligibility rules, the structured packet schema the clinician expects, consent state, anything already known about the patient.

Guardrails

the agent stays inside the validated intake logic with no clinical advice beyond it; contraindications are flagged for the clinician, never cleared by the agent; explicit consent before any follow-up contact; every screened case logged for audit; conversation variants reviewed before they go live.

Metrics it moves

  • intake-completionup, because a conversation that answers doubts in place holds far more patients than a long click-through form.
  • conversion-rateup, by carrying a patient from "is this right for me?" into a booked consultation in one continuous exchange.
  • recovered-revenueup, by keeping patients who would otherwise abandon at the form, the cheapest acquisition there is.

Related use cases

Onboard / Activate

Conversational intake and eligibility check

the cross-industry parent intake motion this specialises

Convert

Intake-quiz abandonment recovery

recovers the patients who still drop mid-intake

Onboard / Activate

Contraindication and boxed-warning intake screen

the safety-flag layer that runs inside this intake

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

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