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Talks at GoogleDr. Alison Wood Brooks | The Science of Conversation & the Art of Being Ourselves | Talks at Google
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At a glance
WHAT IT’S REALLY ABOUT
Conversation skills are learnable: use topics, questions, levity, kindness.
- Alison Wood Brooks explains her research-driven view that conversational skill is learnable, challenging the “myth of naturalness” that great talkers succeed purely through spontaneity.
- She shares findings that strong conversations often achieve both breadth and depth by moving through topics efficiently while using follow-up questions and responsive listening to uncover meaningful content.
- She describes experiments showing that minimal topic preparation before a conversation can reduce anxiety and disfluency while increasing enjoyment and mutual interest.
- She argues that people routinely overestimate their ability to infer others’ intentions, making clarification, direct questions, and quick “repair” sequences central to better communication.
- She applies her TALK framework (Topics, Asking, Levity, Kindness) to workplace contexts, including disagreement, status hierarchies, and bringing appropriate levity into sanitized corporate settings.
IDEAS WORTH REMEMBERING
5 ideasDepth can come from moving through topics quickly, not camping on one.
She described a common belief that depth requires staying on one topic for a long time, but said research on large-scale conversation data suggests strong conversationalists move across topics quickly while still extracting meaning—often by using follow-up questions and timely self-disclosure to find the “golden nuggets,” then shifting before the topic goes stale.
Brief topic preparation can measurably improve conversations.
She reported experiments where people were nudged to prep even a few bullet-point topics for ~30 seconds before a conversation; she said it increased enjoyment, reduced anxiety, lowered disfluencies (ums/uhs/pauses), and improved the odds of landing on mutually interesting topics rather than defaulting to whatever’s in the immediate environment.
The follow-ups and responsiveness after the first question often matter most.
She emphasized that a strong opening question matters less than what happens after it: listening for emotional cues, asking follow-up questions, and revealing relevant information about yourself to build a richer “cascade” over many turns.
We’re worse at “mind reading” than we think; asking beats guessing.
She argued people are often overconfident in their ability to infer others’ intentions; she cited work where listeners were no better than chance at identifying a speaker’s intended meaning from voice inflection—even across languages—supporting the idea that direct asking and clarification are essential.
Quick conversational repairs prevent long, costly misunderstandings.
She highlighted “repair” as a micro-skill: calling out misunderstandings or asking clarifying questions in the moment. She said people fear repairs will derail the discussion, but they often take only a couple conversational turns and then you return to the main thread.
WORDS WORTH SAVING
5 quotesWhen we study conversation, many conversations at large scale, what you realize is actually good conversationalists are achieving depth on topics and moving across them quickly.
— Dr. Alison Wood Brooks
We have this belief that good conversationalists are not only good writ large, they're good on the spot, spontaneously.
— Dr. Alison Wood Brooks
Humans actually can't, aren't good at guessing what other people are thinking.
— Dr. Alison Wood Brooks
Life is a series of conversations. It is not a series of one-way pitches to nobody.
— Dr. Alison Wood Brooks
Right before you go on stage, you say, "I've got your back." Like, and that's how everyone wants to feel in every interaction.
— Dr. Alison Wood Brooks
SPEAKERS
Brandon Li
hostGoogle Lens team member and Talks at Google host/moderator for this event.
Dr. Alison Wood Brooks
guestHarvard Business School professor and researcher/author focused on the science of conversation.
High quality AI-generated summary created from speaker-labeled transcript.
