Steve Blank AI Killed the MVP – Long Live the IUP

This publish beforehand appeared in Poets and Quants

This is the second of 4 posts on how AI has impacted our Lean LaunchPad class and what we did about it.
Part 1: The Year AI Came For Us
Part 2: This Post
Next Week
Part 3: The World Outside the Classroom Changed, The Class Didn’t
Part 4: Lean LaunchPad – The Next Generation

Leaving the After-Action Review of our class this spring, we thought we understood the issue AI had created. The Minimum Viable Product (MVP) was not a helpful artifact for buyer discovery and arriving at an evidence-based worth proposition. (To clarify what we considered these AI-generated day one merchandise, we labeled them Initial Untested Products – IUPs.) We have been assured that we may make some easy fixes to the syllabus to cope with this.

To my chagrin we might discover that very like our college students, we had confused the signs (the MVP is useless) with the a lot bigger actual issues going through the category. After numerous iterations we found the basis causes and how one can hold the category recent for the AI age.

---

I believed it could be fairly easy to only make some minor tweaks to the category. But the extra I thought of it, one thing troubled me. It felt like one thing a lot deeper was damaged that I couldn’t but articulate or put my finger on.

After some time I spotted, you may’t know your future for those who don’t perceive your previous. So I wanted to return to fundamentals.

Who did I design the category for? How did I design the category? Why has it scaled and lasted virtually twenty years? What did we would like college students to be taught 15 years in the past? What do I need them to be taught right this moment?

It was time to rethink the pedagogy of the category – the why and the way of what we have been educating. Then we may sort out the course design – the what, when, and in what order. The outcome could be the content material of the category in an up to date curriculum; and the syllabus for the scholars that describes all of it.

Only then may I make the adjustments to match the global community as it’s, not the global community because it was.

What Was I Thinking?
I developed the Lean LaunchPad class in 2011 to interrupt out of “how one can write a corporate affairs plan” which was then the capstone of entrepreneurial training. The outdated strategy assumed that each one founders of startups wanted to do was to explain the long run in a doc, increase cash after which execute the plan. The Lean strategy began from the alternative premise: on day one, practically each vital truth in constructing a corporate affairs is a speculation.

I spotted that whereas present organizations execute corporate affairs fashions, startups seek for them. And that a startup was a brief group designed to seek for a repeatable and scalable corporate affairs mannequin. The class was designed to show founders how one can seek for all elements of a corporate affairs mannequin, not simply the product, and to create a classroom atmosphere that carefully resembled a startup – team-based, experiential, unsure and relentless. (At the time this was heretical.)

In hindsight, the genius of the category design was to mix a common framework, domain-specific discipline proof, high-tempo accountability, and permission to alter course.

The authentic 10 Lean LaunchPad Course Design Elements included:

1. The Business Model Canvas as a speculation map. The Business Model Canvas captured the group’s assumptions about prospects, buyer issues/wants, worth propositions, channels, proceeds, prices, companions and actions. The canvas created a typical language throughout industries. It uncovered the complete set of assumptions that needed to develop into information. It additionally acted as connective tissue: when groups grew to become misplaced within the particulars of a prototype or an interview, they may return to the map.
2. Customer Development because the core exercise. Customer Development pushed college students outdoors the classroom and examined their assumptions immediately with prospects and stakeholders. Customer discovery may begin earlier than a completed product existed, making the strategy relevant in domains the place constructing took days, months, or years ({hardware}, biotechnology, semiconductors, vitality, protection, et al.)
3. 100 buyer and stakeholder interviews created Pattern Recognition. The demand for 100+ interviews added breadth, range and repetition. It allowed for testing the all of the elements that make up a corporate affairs mannequin, not simply the product. More than 100 interviews made it more durable to depend on pleasant contacts, anecdotes or affirmation bias. High quantity uncovered variations between customers and consumers, early adopters and mainstream prospects, and acknowledged preferences and precise habits.
4. Hypotheses became experiments. Teams acknowledged what they believed, recognized the proof wanted, ran experiments, and reported whether or not every speculation survived. It was the scientific methodology utilized to startups. The course of remained constant despite the fact that the experiments various by trade.
5. Minimum Viable Products (MVPs) took on two roles. First, the MVP was an indication of a group’s technical competence and mirrored a group’s cumulative information of buyer issues and attainable options. Agile engineering constructed Minimum Viable Products iteratively and incrementally. The iteration of incrementally refined MVPs allowed groups to seek out product/market match between Stakeholders and a worth proposition and a path to a repeatable and scalable corporate affairs mannequin.
   
6. Minimum Viable Products (MVPs) have been additionally used to check your entire corporate affairs mannequin – not simply the product. Teams constructed the smallest artifact wanted to validate any half of their corporate affairs mannequin. An MVP was no matter received you essentially the most studying about your corporate affairs mannequin at a time limit, creating proof and lowering uncertainty.  (E.g. a MVP might be a touchdown web page or A/B take a look at to validate a go-to-market technique, a worth checklist to check potential proceeds, medical endpoint, invoice of supplies to check prices, and many others.)
7. Pivoting or restarts have been reputable outcomes. Discovering that a chance was unattractive was a legitimate outcome. The class lowered strain to fabricate constructive findings and made it attainable to allocate time and capital away from weak alternatives.
8. Intensity and time strain. Teams operated beneath demanding weekly deadlines, required fieldwork, weekly public displays, and direct and unsparing teacher suggestions, coupled with incomplete and unsure info. The course of compelled groups to tell apart the proof they have been listening to from prospects from their very own opinions.This depth uncovered college students to real-world startup situations of speedy/good-enough decision-making. (As a side-effect it additionally uncovered dysfunctional group habits.) This cadence of working in chaos and uncertainty compressed months of casual studying into a brief, structured cycle. Pivots and restarts have been acknowledged as reputable outcomes moderately than admissions of failure.
9. Experienced practitioners as instructors. Class time was used primarily for critique and training moderately than standard lectures. Experienced instructors may acknowledge recurring startup patterns, whereas mentors provided specialised area information. Instructors didn’t must be the global community’s main specialists in each expertise.
10. A standardized course of with adaptable content material. The course appeared open-ended to college students, however its freedom sat inside a fastidiously designed construction. The cadence, canvas, interview course of, MVP seek for product-market match, and proof necessities have been standardized, whereas the interview targets and kinds of experiments various by area. For instance, in life sciences the canvas emphasised medical analysis organizations and medical finish factors, FDA rules, insurer reimbursement, and many others. whereas in B-to-B the emphasis was product/market match.

The Result
The class proved surprisingly moveable, sturdy (15 years and counting) and common.

These design components allowed the course to be versatile sufficient to be replicated throughout industries (enterprise software program, shopper merchandise, {hardware}, therapeutics, medical gadgets, vitality, local weather, oceans, semiconductors, and national-security) with out changing into a generic entrepreneurship lecture or requiring a very completely different curriculum for each expertise.

The class was adopted by the U.S. analysis neighborhood; the National Science Foundation, National Institutes of Health, and ARPA-E, relabeled as “I-Corps” and in over 100 universities. All these businesses used the category to show principal investigators how one can commercialize their science (coaching ~10,000 scientists in ~3,500 groups and launching 1,400+ startups so far.)

Five years later, a spin-off of the category utilizing the identical syllabus would develop into Hacking for Defense, now in 60+ U.S. universities and 17 within the UK.

And but…

AI Killed the MVP – Long Live the IUP
The class had been resilient and adaptable however now as I stared at its 10 design components it grew to become clear that AI had demolished a core pillar of the category. With groups able to vibe coding a product, minimal viable merchandise (MVPs) didn’t symbolize proof of technical competence. MVPs have been additionally not dependable proof of buyer discovery, important pondering, speculation testing, product/market match and even dedication. This meant two of the ten class design components have been out of date. So a lot so that we’ll now label Minimum Viable Products (MVPs) as Initial Untested Products (IUPs.)

We didn’t wish to kill AI within the class. Quite the alternative. That’s the global community as it’s. We need college students to make use of AI to the max, similar to in the true global community. But AI has modified the global community wherein entrepreneurs will create new corporations. The Lean LaunchPad class wanted to alter greater than the MVP.

The World Changed, The Class Didn’t
The class I designed in 2011 centered on educating founders how one can perceive an organization’s total corporate affairs mannequin, not simply the product options and prospects. However, in 2026 there have been 4 vital components outdoors a classroom or a startup that might have an effect on their success.

1. Venture capital (how a lot startups may increase, once they may increase and who they may increase it from)
2. How startups constructed their merchandise (core tech platforms and improvement instruments)
3. The price of constructing merchandise (time to market, group dimension, capital necessities)
4. Customer Adoption (how did they consider, purchase, deploy and use merchandise. And the velocity wherein they did that. And buyer construct versus purchase standards.)

AI was additionally altering every little thing outdoors the classroom. Including what AI simply did to Product/Market Fit.

I wanted to know these adjustments so I may have the category match the long run, not the previous.

More in Part 3: The World Outside the Classroom Changed, The Class Didn’t and in
Part 4: Lean LaunchPad – The Next Generation

Filed beneath: Lean LaunchPad, Teaching |