Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
npx skills add https://github.com/RefoundAI/lenny-skills --skill customer-interviews
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.
From "What to do if your product isn’t taking off": "When talking to people, look for two things: pain and pull. Pain tells you there’s an opportunity to solve a problem. Pull tells you that you’re actually solving the problem."
Ignore polite encouragement and look for signs of intense pain. Real pull is evidenced by people paying money or continuing to use a bad prototype despite its flaws.
See references/artifacts.md for the full list with details.
For all 14 sourced insights from 11 guests, see references/guest-insights.md
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take refoundai/customer-interviews from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.