We set out with the best intentions: we want to be lean and agile, and we are going to put something out into the world that we are “slightly embarrassed by” and we’re going to pivot and iterate from there. Right? That’s how it’s supposed to work.

But in reality, stakeholders never, ever seem to remember what that agreed MVP was. They fixate on a roadmapping session from six months ago or have a visual design comp stuck in their head that shows three features that were agreed to be post-MVP items.

Why Does This Happen?

  1. Memory is Fallible: We can remember talking about something, and knowing it was important, but not remember that we agreed it was out of scope or budget.
  2. Stakeholder Tactics: Some stakeholders might want to squeeze as much as they can out of development teams. They might agree to a smaller scope initially, hoping developers don’t remember the negotiation, or they might be unethically disingenuous.
  3. Lack of Experience: Stakeholders might not have enough experience in product management or development processes. They see software as infinitely changeable and might not grasp why certain features were deferred.

How Can We Stop It?

  1. Do Everything Waterfall: Agile just might not be the best approach for first-time founders, especially non-technical ones. Having clear visual comps of EVERYTHING can ease them into the fast-paced world of tech businesses, though this has many disadvantages.
  2. Hyper-Organization Mode: Developers and PMs can track every decision meticulously. A “Git for decisions” tool would be ideal, where every choice branches out with roadmaps and budgets, showing stakeholders how their decisions impact the project. Without such a tool, a detailed decision journal could work as a good alternative.
  3. Selective Client Engagement: Developers might choose to avoid working with first-time, non-technical founders. For products like platforms, where the technology is integral, having a technically savvy founder is crucial. For tech-enabled services, like an app to schedule plumbing appointments, the tech isn’t the core value, so non-tech founders might manage better.

What Can We Replace “MVPs” With?

I’m not sure. We have to launch with something, and that should have some level of definition, but I have three ideas:

Idea 1. Time Based MVPs

Maybe MVPs should be time-based, like launching something after a set period, regardless of what we have. Launch dates could drive everything in this way. Imagine a 90 day launch window after design/discovery has been performed. Then you would have weekly sprints, where the stakeholders are hyper engaged for a short period of time. The theory here is that this focus would cut out all the need for the “who said what when” arguments and everyone would only work on what was needed.

Idea 2. The 5-feature Rule

This is something I’m making up (desperately) on the spot. Perhaps the way we should be working to MVP should have some over arching philosophy about what an MVP even is.

  1. Basic User Management: Ensuring the system can handle user registration, login, and basic user profile management.
  2. Payment Handling: If the application involves transactions, it must handle payments from day one. Keep it simple and avoid novel payment systems.
  3. Performance: The application must perform well on its main targeted platform, device, or browser.
  4. Core Value: It should offer one really interesting, killer, or useful feature to the user. That’s it. Just one.
  5. Baseline Analytics: Include basic analytics from day one to track user engagement and system performance.

Idea 3: The Walking Skeleton Approach

Another approach to replace the traditional MVP is the “Walking Skeleton.” This method focuses on creating a fully clickable interface, essentially a complete UI, built with code, before any underlying logic is implemented. Acting as a pre-MVP, the Walking Skeleton allows stakeholders to interact with the prototype, providing a tangible sense of the final product without the complexity of backend functionality. This method helps stakeholders learn agility by iterating on this version, refining the user experience, and understanding the project’s scope more clearly. Once the interface is polished and aligns with the stakeholders’ vision, features can be prioritized and integrated based on what needs to launch first. Building out the application this way could be a lower stakes method for learning collaborative development, but it also doesn’t throw the baby (or code) out with the bath water.

Conclusion

By simplifying the MVP to these core elements, maybe we can mitigate the confusion and ensure everyone is on the same page about what the initial product will deliver. I prefer to end my posts the same way ChatGPT does, with a positive conclusion. But today, I’m less sure I can do that. I’ve read countless books, articles, and posts on how to define an MVP. I’ve helped launch hundreds of tech companies, and I’ve launched a couple of my own as well. So why is so difficult to launch when working with well-intentioned, intelligent, well-funded, people who are going through this process for the first time? I’m going to at least try Time Based MVPs and my new 5-Features rule on my next two projects and see if that helps. Wish me luck.

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I help companies turn their technical ideas into reality.

CEO @Sourcetoad and @OnDeck

Founder of Thankscrate and Data and Sons

Author of Herding Cats and Coders

Fan of squash, whiskey, aggressive inline, and temperamental British sports cars.

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Is Anyone Working on Agentic Authentication?

Everyone is building AI-powered tools, even people who shouldn’t be. Agents seem to be the next obvious (and big?) step. But these little bots need a secure way to act on behalf of users without causing chaos.

Richard Dulude at Underscore VC wrote about the lack of identity standards for AI agents in this LinkedIn article. I don’t know Richard or Underscore VC (sorry). But, he’s right, traditional authentication assumes either a human or a machine with static credentials, and that doesn’t work for AI agents that need to make decisions and take actions. Companies want accountability (and probably liability), and users need control of what their potentially psychedelic robot is doing on their behalf. This balance doesn’t exist yet.

This is probably for another blog post, but right now, everyone, including the bots, are using human interfaces as a stopgap. OpenAI’s Operator is a great example, agents pretending to be humans to interact with systems that weren’t built for them. That’s fine for now, but eventually, the human interfaces will be an afterthought. Like how “mobile-first” design took over, we’ll be doing “agent-first” design with human-accessible backups. Having a dedicated standard for agentic authentication might be a good first step in that machine-to-machine way of thinking and designing systems.

Agentic Proxy Credentials (APC): A Solution (A Term I Totally Made Up)

I made this up. It’s probably a bad term, but naming things is fun. This doesn’t exist… if you are a large battery and power supply company, don’t sue me. I’m spitballing here.

One possible fix is the “sucked out of my thumb” Agentic Proxy Credentials (APC). This would let users grant their AI agents secure, limited permissions to interact with systems while making sure the right level of oversight are in place. There are things that I wanted to do this very week, but I don’t trust my bots with my actual usernames and passwords:

Stop me talking to Airline Idiot Bots

Talking to airline chatbots is painful. Right now, they can only regurgitate FAQ answers. With an APC, my AI assistant could log into my airline account, check flights based on my loyalty status, and rebook me without you having to touch anything. This would make AI actually useful instead of just a slightly smarter help page.

Paying for small things without having to deal with entering my ACH data AGAIN

I don’t want to give an AI full access to my bank account. But I wouldn’t mind letting it handle small transactions in a controlled way. With APCs, I could grant my assistant time-limited access to approve payments or move money within strict limits. The AI does the work, I stay in control, and my bank account doesn’t mysteriously empty overnight… unless I’m Ambien shopping again.

AI Dungeon Master’s Assistant

D&D is great, but session prep is a time sink. I want an AI that logs into my D&D Beyond account, manages stat blocks, generates lore-friendly content, and even takes session notes. The AI handles the boring admin work, and you get to focus on making your players cry (or cheer, if you’re nice). Yes, serious stuff here.

How It Could Work

There are a few ways to make this happen, I think. I’m no longer allowed to do actual engineering at my own companies I founded, so this blog is my outlet. Everyone needs a hobby.

Is Someone Already Building This?

Honestly, I wouldn’t be surprised if Okta, OAuth, or OpenAI are already working on this and I’m just ranting for no reason. But if they aren’t, they should be. The pieces are all there, someone just has to put them together.

I need this, but I can’t find it. If anyone is working on it, let me know. I’m too busy trying to solve employee gifting at scale at Thankscrate, implementing AI into every existing business at Sourcetoad, and making sure passengers can watch TV and book dinner reservations in the middle of nowhere at OnDeck.