Install any skill in seconds. Free to start, no credit card required.
Get Started Free →refoundai/customer-interviews
Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
Passed 20 of 23 test cases with the skill, and 14 of 23 without it.
and 8 more in the full report
7 fixed13 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
As a product manager, I need advice on right-sizing our customer interview pipeline and refining our questioning strategy. Produce a user research framework document that outlines: recommendations on ideal participant sample sizes to avoid over- or under-interviewing, techniques for collecting concrete behavioral stories while avoiding confirmation bias, and a diagnostic checklist to evaluate whether customer feedback reflects genuine intent.
| Checked | Without skill | With skill |
|---|---|---|
| Recommends a sample size range of 7 to 14 customer interviews. | Missed | Passed |
| Notes that fewer than 7 interviews provides insufficient data. | Missed | Passed |
| Incorporates Teresa Torres's story-based interview technique of tracing recent concrete events. | Passed | Passed |
The instructions your model reads when the skill loads.
Uncover deep user pain and behavioral triggers to build products people actually need.
Help the user with mastering customer interviews using insights from 11 guests and posts across Lenny's Podcast and Newsletter.
Bob Moesta: "And so the real heart of the method of Jobs to Be Done is understanding the causation of what pushes people to say, 'Today's the day I got to do something different.'"
Interviews should uncover the specific events and context that led to a change in behavior. Understanding the struggling moment makes seemingly irrational user choices appear rational.
Jag Duggal: "You make sure that you focus on customer discovery before you start building. You make sure that that discovery is focused not simply on asking the customer, but on innovating on their behalf."
Effective research goes beyond listening to explicit requests by observing users in their natural environment. This reveals friction points that users may not be able to describe.
Shaun Clowes: "Avoid availability or confirmation bias. Most of the time people go talk to the people they always talk to and they learn nothing particularly new. They don't synthesize the results that they got from that conversation. They don't seek out the counterfactual, they don't seek out the proof that they're wrong."
To avoid confirmation bias, you must intentionally seek out data points that disprove your current assumptions. Learning is maximized when you find counterfactual perspectives.
From "How to develop product sense": "Don’t just read reports from researchers on your team; instead attend user research sessions to get firsthand exposure to user experiences and reactions. What’s important is to pay attention to micro details and ask yourself why people react to your product the way they do."
Directly observing user behavior provides a firsthand understanding of emotional and functional needs. Research reports often overlook the nuance found in live reactions.
From "Startup to exit: Lessons from a first-time founder": "However, we realized our first several “interviews” were actually sales pitches (e.g. “here’s this cool new thing, what do you think?”). Far too biased to get any real signal."
Running discovery calls as sales pitches prevents honest signals. Use an unbiased script that avoids mentioning your specific solution to see if the customer brings up the problem organically.
test cases passed, vs 14 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.