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Engage / Lifecycle

One-way results-explainer card

The moment her test result lands is the moment she's most curious — so a written explanation appears in-app right then, no chat to open, nothing she has to ask.

Get aheadBehavioral triggerSystem triggerIn-appPushWellness (B2C apps)Subscription

What it does

The seconds after an at-home test result is the highest-attention moment in a femtech app, and a bare number with a reference range lets it pass unused. Opening a free-form chat at that moment is one answer, but it carries more compliance and safety surface than some teams want to run. This is the lower-risk version: immediately after a test, the agent generates a one-way text card that explains what the result means today and how to read it across the cycle, surfaced in-app. She can react or leave feedback, but there is no conversation — which keeps the interpretation bounded and reviewable while still capturing the engagement spike. It is a pure engagement loop with a tighter compliance posture than open chat, and it runs in production.

How it works

  1. 1
    Trigger. a test_result_ready event arrives from the result-processing pipeline when a new test is scored.
  2. 2
    Decision. the agent loads the user's result history and remembered context, drafts a plain-language read bounded to trends and education — what this number means now, how it sits across her cycle — and passes it through the quality judge before anything is shown; nothing is generated as free-form chat.
  3. 3
    Action. a one-way explainer card is surfaced in-app, with a push to bring her back to it; the only interactions offered are a reaction and a feedback control, no reply box.
  4. 4
    Follow-through. her feedback writes back to tune future cards and the quality benchmark; the card text is logged for review; the interpretation never branches into diagnosis or medication, and anything that would require more is left to the client's human channels.
Example
Agent (card)Your latest result is in. This hormone reads higher than your previous test and is in line with where you are in your cycle — typical for this phase, not a cause for concern on its own. Across your recent tests, your pattern has stayed steady. Was this helpful?
Customer*taps 👍 and leaves "clear, thanks"*
AgentFeedback noted — it helps tune the next one. Your following result will be read against this one.

Configuration

How the agent is wired for this use case.

Triggera test_result_ready event from the result-processing pipeline when a new test is scored.
Tools & actions
  • Result-processing pipeline · read the scored result and its reference ranges.
  • Memory store · load result history and remembered context for a trend-aware read.
  • Knowledge base · ground the explanation in approved phase and result content.
  • In-app surface · render the one-way card with reaction and feedback controls only, no reply box.
  • Messaging channel · send a push that returns the user to the card.
  • Product analytics · capture feedback and downstream test cadence for measurement and tuning.
Autonomycard generation runs unattended behind the quality judge; output is one-way, trends-and-education only, never a diagnosis, never medication, with no conversational branch by design. Card text is logged for review.
Channelsin-app · push
Escalationby design the card offers no reply path; anything beyond a bounded explainer is routed to the client's existing human or clinical channels rather than handled in-card.

What you need

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

Signals

test_result_ready or an equivalent result-processed event from the test pipeline.

Data

per-user result history, reference ranges, remembered context, consent state.

Guardrails

one-way output with no free-form chat; judge gating on every card; trends-and-education framing with no diagnosis or medication; card text logged for review; escalation handled outside the card.

Metrics it moves

  • dau-mauup: the highest-attention moment becomes a read she comes back to instead of a glance at a number.
  • churndown: a result she actually understands is a reason to test again and stay subscribed.
  • opt-out-ratedown: a bounded, useful explainer at the right moment earns the notification instead of burning it.
  • csatup: the in-card reaction and feedback control captures whether the read landed, and the score climbs as the explainer is tuned.

Related use cases

Engage / Lifecycle

Hormone-result interpretation grounded in trend history

the open-conversation sibling of the same result moment, higher engagement and higher surface

Engage / Lifecycle

Segment-aware femtech advisor

the segmented framing this card can carry

Engage / Lifecycle

Test-result interpretation agent

the telehealth-lab analogue of the result-interpretation moment

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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