📖 Book
✓ Link checked
Paid
Beginner
Why we picked it
The single best thing ever written on customer conversations. It teaches you to ask about the customer's life and past behaviour, not your idea, so you can't be lied to. If a founder reads one thing before talking to a single customer, it's this.
From
momtestbook.com
by Rob Fitzpatrick
~130 pages
- Talk about their life, not your idea.
- Ask about specifics in the past, not opinions about the future.
- 'That's so cool, I'd totally buy it' is a compliment, not data, dig for commitment and evidence.
Open
momtestbook.com →
📖 Book
✓ Link checked
Paid
Beginner
Why we picked it
The origin text for the modern MVP and validated-learning vocabulary every founder now uses. Read it for the mental model that a startup is a series of experiments, not a single bet.
From
theleanstartup.com
by Eric Ries
~330 pages
- Progress = validated learning, not features shipped.
- Run the Build-Measure-Learn loop as fast as you can.
- An MVP is a learning tool, not a cheap product.
Open
theleanstartup.com →
📄 Article
✓ Link checked
Free
Beginner
Why we picked it
A tight, practical breakdown of what a concierge MVP is actually testing, using the Food on the Table example step by step. It makes the key point that the personal service is not the product, it is a learning activity aimed at your riskiest assumptions. Read it when you want the concept explained clearly without a book-length commitment.
From
Res Extensa (Coleman McCormick)
by Coleman McCormick
- The concierge service is a learning tool, not the product.
- Aim it squarely at your leap-of-faith assumptions.
- Find something customers love before worrying about scale.
Open
resextensa.co →
📄 Article
✓ Link checked
Free
Beginner
Why we picked it
The two ways to fake a product while you test real demand. Do the work by hand in the open (concierge), or hide the manual work behind a front so users think it is automated (Wizard of Oz, the way Zappos started). Clear examples of when each one fits.
From
LogRocket
~12 min read
- Concierge is transparent, Wizard of Oz is hidden.
- Both let you sell before you build.
- Match the method to what you are unsure about.
Open
blog.logrocket.com →
📄 Article
✓ Link checked
Free
Beginner
Why we picked it
This is the cleanest short explanation of the two manual-first MVPs and, more importantly, how they differ, which is where most founders get confused. Concierge means you are the visible front end doing the work by hand, Wizard of Oz means you have a real interface but a human quietly runs the back end. It walks a single concrete product example through both, so you can see which one actually answers the question you are trying to answer.
From
Mind the Product
by Amanda White
~8 min read
- Concierge MVP: no interface yet, you personally take inputs and deliver the result by hand, and the user knows it is manual.
- Wizard of Oz MVP: a real front end that users think is automated, while humans do the work behind it, useful for testing whether people will use the interface itself.
- Pick based on what you need to learn: concierge tests whether the service is wanted, Wizard of Oz tests whether the product experience works before you build the automation.
Open
mindtheproduct.com →
📄 Article
✓ Link checked
Free
Intermediate
Why we picked it
Kromatic works with corporate and startup teams on lean experiments, and this piece is precise about the difference and the failure modes of each. It helps you avoid the common trap of building fake automation when a simple human-facing service would answer the same question faster. A solid second read once the basic distinction has clicked.
From
Kromatic
- Do not build fake automation if a manual service will do.
- The user's awareness is the whole difference between the two.
- Design the test around a single assumption you can falsify.
Open
kromatic.com →
📄 Article
✓ Link checked
Free
Intermediate
Why we picked it
Turns the vague feeling of product-market fit into a number you can move. Ask users how they would feel if they could no longer use the product, then track the share who say 'very disappointed'. Under 40 percent means keep working. A test you can run on an idea long before you scale it.
From
First Round Review
by Rahul Vohra
~20 min read
- The 40 percent 'very disappointed' benchmark for product-market fit.
- Segment to your high-expectation customers and build for them.
- Make the fit score a metric you improve quarter by quarter.
Open
review.firstround.com →
📄 Article
✓ Link checked
Free
Beginner
Why we picked it
A practical walkthrough of when a concierge MVP is the right fit, when it is not, and how to actually run one. It is helpful for pressure-testing whether your idea (a delivered outcome versus daily software) suits this approach at all. Read it when you are deciding whether to reach for concierge or something else.
From
Upsilon
- Concierge fits when the promise is a result, not a daily tool.
- It works best with a small, reachable first group of users.
- Track willingness to pay, repeat use, and referrals.
Open
upsilonit.com →
📄 Article
✓ Link checked
Free
Beginner
Why we picked it
Steve Blank coined get out of the building, and this is a clean primer on why talking to customers is a search for facts your building cannot give you. It frames customer discovery as testing your assumptions against real people rather than defending a plan. A short, foundational read on why you are doing this at all.
From
Kauffman Entrepreneurs (Steve Blank)
by Steve Blank
10 min read
- Facts about your customers live outside the building, go find them
- Treat your idea as a set of hypotheses to test, not a plan to defend
- Customer discovery is a search, expect several iterations before it clicks
Open
entrepreneurship.org →
Why we picked it
The permission slip to recruit users by hand, do things manually, and deliver 'insanely great' experiences to your first few customers. The cheapest, most honest way to validate demand is to go get it one person at a time.
From
paulgraham.com
by Paul Graham
~15 min read
- Recruit your first users manually, don't wait for them to come.
- A tiny group of users who love you beats a big group who like you.
- Manual, unscalable effort early is a feature, not a failure.
Open
paulgraham.com →
📄 Article
Freemium
Beginner
Why we picked it
If you do not want to read the whole book, this is Ries in his own words defining the MVP in a few pages. His guiding rule is to strip out anything that does not add to the learning you are after, which is exactly the logic behind delivering the outcome by hand first. It is a fast way to get the concept straight from the source.
From
Eric Ries (Medium)
by Eric Ries
- Remove any feature or effort that does not add learning.
- An MVP is about validated learning, not a finished-looking product.
- Early adopters expect a rough experience, so start with them.
Open
medium.com →