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Interpreting implicit and explicit feedback — edits, regenerations, abandonment.
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Basé sur la classification professionnelle SOC
Proactively identifying failure modes, misuse, and unintended consequences.
Managing shared context, memory, and state across multiple agents.
Coordinating text, image, voice, and tool-use modalities in a single interaction.
Helping users form warranted trust in the AI — neither overtrust nor undertrust — through deliberate confidence and source signalling.
Reading user emotional state from text signals — caps, punctuation density, repetition, latency — and adapting before the user disengages.
Designing review workflows to surface and mitigate bias in AI outputs.
| name | user-satisfaction-signals |
| description | Interpreting implicit and explicit feedback — edits, regenerations, abandonment. |
Users rarely tell you directly whether they're satisfied. Most satisfaction signals are implicit — buried in behavior patterns that you have to design systems to capture and interpret.
These are signals users give intentionally:
These are behavioral signals that indicate satisfaction or dissatisfaction: Positive signals:
Raw signals need interpretation:
