Comparison
In-product survey vs AI interview
When to ask in the moment and when to ask why
A side by side of the two main ways product teams hear from users. In-product surveys, from tools like Sprig, catch active users at the moment of use with short questions and high response rates, but cannot reach people who left. AI interviews reach anyone you can send a link to and follow up on each answer, trading volume for depth. Many teams use a survey to find where something is wrong and interviews to learn why; Koji runs the interview side.
Where this appears
What's in this comparison
In-product survey
- Reaches people while they use your product
- Short questions triggered by an event or page
- High response rates from active users
- Pairs answers with replays and heatmaps
- Cannot reach churned users or prospects
AI interview
- Reaches anyone with a link, a list or a panel
- A conversation that asks follow-up questions
- Fewer responses, far more depth per person
- Reaches churned users, prospects and non-users
- A report with themes tied to quotes
Use this image
Free to use in your docs, decks and posts under CC BY 4.0, as long as you credit Koji with a link to this page. To embed it, paste this into your page:
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<a href="https://www.koji.so/visuals/in-product-survey-vs-ai-interview-comparison"><img src="https://www.koji.so/visuals/in-product-survey-vs-ai-interview-comparison/in-product-survey-vs-ai-interview-comparison.png" alt="Comparison of in-product surveys and AI interviews: surveys reach active users in the moment, AI interviews reach anyone and ask follow-up questions." width="1200" height="630" /></a>
<p>Source: <a href="https://www.koji.so/visuals/in-product-survey-vs-ai-interview-comparison">In-product survey vs AI interview</a>, Koji</p>
