dogfooding
refoundai/lenny-skills
Help teams implement effective dogfooding to build deeper product empathy and catch real user pain points.
What is dogfooding?
Dogfooding is the practice of having your team use your own product as real users would. Use this skill when designing internal usage programs, trying to increase team adoption of your product, or building firsthand understanding of user friction that customer feedback alone won't reveal.
- Assess how much your team currently uses the product and identify gaps in firsthand experience
- Design systems that make dogfooding natural and required rather than forced
- Help teams move beyond superficial testing to intense, real-world daily usage
- Flag common mistakes like delegating to QA, ignoring edge cases, or failing to act on findings
- Guide measurement of how dogfooding improves product decisions
How to install dogfooding
npx skills add https://github.com/refoundai/lenny-skills --skill dogfoodingHow to use dogfooding
- 1.Assess your team's current usage patterns—how often does each member actually use the product as a real user?
- 2.Identify what's preventing team members from being heavy users (friction, time, unclear value)
- 3.Design a dogfooding program that makes internal usage feel natural, not forced
- 4.Require the entire team—not just engineers—to become creators or users of the product
- 5.Establish a process to act on findings from dogfooding rather than letting insights sit unused
- 6.Track how dogfooding improves product decisions and compare learnings to customer feedback
Use cases
- Getting engineers and non-product roles to become heavy users of your own product
- Designing internal usage programs that reveal friction before customers encounter it
- Building team empathy for user pain points that customer interviews alone don't surface
- Creating accountability for shipping features that the team actually wants to use daily
- Identifying bugs and UX issues through real work rather than demo-mode testing
- Product managers designing team adoption programs
- Engineering leaders building product culture
- Startup founders establishing dogfooding from the start
- Design and product teams seeking deeper user empathy
- Teams building AI products that benefit from intense daily usage
dogfooding FAQ
The entire team should dogfood, including designers, PMs, and non-product roles. Everyone benefits from firsthand experience with user pain points.
Dogfooding is using the product for real work as an actual user would. QA testing is often superficial and demo-focused. Dogfooding requires intense, daily usage to catch real friction.
Design systems that make internal usage necessary for the team's actual work, rather than treating it as a separate testing task. The goal is for team members to naturally become heavy users.
Establish a clear process to prioritize and fix findings from dogfooding. If you discover pain points but don't address them, the practice loses credibility and impact.
Track whether team members are using the product daily, compare learnings from dogfooding to customer feedback, and measure how dogfooding influences product decisions and prioritization.
Full instructions (SKILL.md)
Source of truth, from refoundai/lenny-skills.
name: dogfooding description: Help users implement effective dogfooding practices. Use when someone is trying to get their team to use their own product, designing internal usage programs, or building user empathy through personal product use.
Dogfooding
Help the user implement effective dogfooding practices using frameworks from 2 product leaders who have built cultures of intense internal product usage.
How to Help
When the user asks for help with dogfooding:
- Assess current state - Determine how much the team currently uses their own product
- Identify the gap - Find where team members lack firsthand experience with user pain points
- Design the program - Help create systems that make dogfooding natural and required
- Measure impact - Track how dogfooding improves product decisions
Core Principles
Require team members to become users
Maya Prohovnik: "I am constantly yelling at my product team who do not have podcasts and being like, I really don't think that you can build the right things. If they talk to users all the time, they see the data, but all of them, once they finally start doing their podcast, they're like, I get it." Force the entire team to become creators/users to deeply understand user pain points.
Use the tool intensely every day
Michael Truell: "From the very start, our product development process was really about dogfooding, and using the tool intensely every day. And we never wanted to ship anything that wasn't useful to us." 'Intense' daily use provides the realism needed to build useful features, especially for AI products.
Questions to Help Users
- "How often does each team member actually use the product as a real user?"
- "What's preventing your team from being heavy users of your own product?"
- "What would it take to make internal usage feel natural rather than forced?"
- "Are you learning different things from dogfooding vs. customer feedback?"
- "How quickly do you feel the pain of bugs or friction when using your own product?"
Common Mistakes to Flag
- Superficial testing - Using the product only in demo mode, not for real work
- Delegating to QA - Relying on testers instead of requiring team members to be real users
- Ignoring non-obvious use cases - Only testing the happy path rather than edge cases
- Not acting on findings - Dogfooding without a process to fix discovered issues
- Excluding non-product roles - Only having engineers dogfood when designers and PMs should too
Deep Dive
For all 2 insights from 2 guests, see references/guest-insights.md
Related Skills
- Writing North Star Metrics
- Defining Product Vision
- Prioritizing Roadmap
- Setting OKRs & Goals
Related skills
More from refoundai/lenny-skills and the wider catalog.

energy-management
Manage energy for sustained performance by identifying what drains vs energizes you and scheduling for impact.

engineering-culture
Build strong engineering culture using frameworks from 19 product leaders.

enterprise-sales
Navigate enterprise sales using frameworks from 9 product leaders who closed large deals at Stripe, Superhuman, and beyond.

evaluating-candidates
Make stronger hiring decisions using frameworks from 94 product leaders.

evaluating-new-technology
Evaluate emerging technologies using frameworks from 22 product leaders at Google, Shopify, and beyond.

evaluating-trade-offs
Make clearer decisions between competing options using frameworks from 40 product leaders.