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Reference table

Researcher biases in user interviews and how to counter them

Table of seven researcher-side biases in user interviews, from confirmation and anchoring bias to the halo effect, each with what it does and a countermeasure.
The biases you bring into the room through your questions, your sample and how you read the answers

A table of seven researcher-side cognitive biases that distort user interviews: confirmation bias, anchoring, framing, leading questions, sampling bias, sponsor bias and the halo effect. For each it gives what the bias does and a specific countermeasure. Use it to review a discussion guide or a study plan before fieldwork. A neutral AI moderator such as Koji asks every participant the same questions the same way, which removes some of these at the source.

Where this appears

What's in this reference table

BiasWhat it doesHow to counter it
Confirmation biasYou seek and remember what confirms your beliefWrite down what would change your mind. Let someone without a stake moderate
Anchoring biasYou over-rely on the first thing you hearSynthesize after all interviews and rotate the topic order
Framing biasThe wording of a question changes the answerAsk for behavior: walk me through the last time you used X
Leading questionsThe phrasing suggests the answer you wantOpen with how, what or tell me about. Have a peer review the guide
Sampling biasYour sample doesn't match the people you generalize toDefine the sample frame before recruiting and screen on what matters
Sponsor biasPeople tell the company what it wants to hearHide the sponsor where you can and ask for honest criticism up front
Halo effectOne good impression lifts unrelated ratingsProbe for specifics and check claims against usage data

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<a href="https://www.koji.so/visuals/researcher-side-cognitive-biases-user-interviews-table"><img src="https://www.koji.so/visuals/researcher-side-cognitive-biases-user-interviews-table/researcher-side-cognitive-biases-user-interviews-table.png" alt="Table of seven researcher-side biases in user interviews, from confirmation and anchoring bias to the halo effect, each with what it does and a countermeasure." width="1200" height="1006" /></a>
<p>Source: <a href="https://www.koji.so/visuals/researcher-side-cognitive-biases-user-interviews-table">Researcher biases in user interviews and how to counter them</a>, Koji</p>