Chatbot Feedback

Updated February 28, 2026

Chatbot Feedback handles adherence, appetite, and stress questions with scenario logic and explicit confidence tags.

Adherence check-in tree

Scenario	Signal set	Default action
Adherence drift	repeated missed logs and skipped meal checks	switch to simplified response mode
Appetite instability	persistent hunger or late-night overreach	prioritize meal sequencing and protein anchors
Stress pattern	sleep drop plus reduced training quality	pause aggressive targets

State	Trigger	Output
High confidence	complete logging and stable context	direct actionable suggestion
Revise	partial data or slight context conflict	present options and trade-offs
Defer	low signal quality or safety boundary reached	ask for confirmation and offer hold mode

Failure risk	Guardrail
Over-correction bias	cap daily change and require confirmation
Recency bias from one noisy week	use trend window instead of one-day change
Substitution hallucination	include source basis and fallback alternatives
Unsafe urgency pattern	escalate to safer recommendation style

Query pattern	Example	Response class
Adherence	"I missed two days of logging"	revise with one-step recovery template
Appetite	"I am ravenous at night"	adjust meal architecture first
Stress	"Recovery is poor and motivation is down"	defer and suggest temporary maintenance

Medical diagnosis is out of scope. For urgent symptoms, use a local care pathway.

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