Scoping & Cutting
Scoping is the art of fitting ambitious ideas into finite time. The best product teams don't estimate how long features will take - they set a fixed time budget and design solutions that fit within it. Aggressive cutting isn't about settling for less; it's about finding the smallest slice that delivers real value.
The Guide
6 key steps synthesized from 15 experts.
Set an appetite, not an estimate
Instead of asking 'how long will this take?' ask 'how much time are we willing to spend on this?' This flips the dynamic. With a fixed time budget (an 'appetite'), you design a version of the solution that fits. This forces creative constraint and prevents scope from expanding indefinitely.
Featured guest perspectives
"We instead have appetites. And our appetite for any individual feature is no more than six weeks. Essentially that's our budget we're willing to spend. I'm only willing to spend six weeks in any feature. So we have to figure out the simplest, most effective version of that to get that done within six weeks."— Jason Fried
"We're going to go the other way around and we're going to say, what is the maximum amount of time we're willing to go before we actually finish something? How do we come up with a idea that's going to work in the amount of time that the business is interested in spending?"— Ryan Singer
Build the scooter, not the axle
An MVP should be a functional, end-to-end version of a smaller value proposition - not an incomplete piece of a larger one. If you're building a car, don't build just the wheels and axle. Build a scooter first - a complete, usable product that solves a smaller job. Then iterate to bicycle, motorcycle, and eventually car.
Featured guest perspectives
"Build the scooter, not the axle. So if you're trying to build the minimum viable product for a car, don't build just the wheels and the axle, build the scooter first. And then from there, you build the bicycle, and the motorcycle, and then the car."— Eeke de Milliano
"MVP is simply for whatever the hypothesis is that we're trying to test, what is the most efficient way to get the validation we need about whether a hypothesis is true or not?"— Eric Ries
Cut the list in half, then half again
Founders and product teams consistently overestimate what's 'minimum' for an MVP. The first tip is simple: write out all the features you think are necessary, cut the list in half, then cut it in half again. Build that. You'll learn more from shipping something small than from planning something comprehensive.
Featured guest perspectives
"The first tip is, write out the list of features that are necessary in your MVP. Cut it in half and cut it in half again and build that. Honestly, if you just do that, that's really not that bad."— Eric Ries
"We really resist the urge to do the big V1. And I think this is... a lot of times when we're exploring something we will say, okay, well, that's cool, how do we strip away a bunch of stuff and figure out what our core hypothesis is? And then, just ship that thing first as a V1."— Jackson Shuttleworth
Use deadlines as a forcing function
Hard time-boxes force teams to prioritize ruthlessly. Set a fixed deadline (like a major event or earnings call) and cut scope to fit the time rather than extending the date. This removes theoretical discussions and focuses energy on what truly matters. A deadline 'trap' is one of the most effective scoping tools.
Featured guest perspectives
"I really love using the deadline trap and it makes you focused... It removes all the theoretical discussions that people have and things like that."— Daniel Lereya
"If we say we're going to give it six weeks and we give it seven or eight or nine or 10, then we're not really giving it six weeks, we're giving it 10, then we don't really have a system... If there's any work that's left over... we're at our time limit, it almost certainly dies."— Jason Fried
Kill projects that aren't on track
Maintain the integrity of your time constraints by letting projects 'die' if they can't be completed within their allotted window. This prevents never-ending work and the demoralization of projects that drag on indefinitely. If a project fails to ship in its cycle, return it to the shaping phase to identify what was missed.
Featured guest perspectives
"If a project is not on track to actually finish after the six weeks, we're just going to cancel it and rethink... we're not going to keep reinvesting in something that we don't understand. So, let's take this out of build mode and bring this back into shaping mode."— Ryan Singer
"We added into our product process a notion that we might pivot or cut from stuff that we put on our roadmap because it felt like once it was on the roadmap, it had to be done, and that's just not smart."— Paige Costello
Use Wizard of Oz testing before building
Before investing engineering resources, validate your value proposition with manual 'Wizard of Oz' testing. Use WhatsApp groups to simulate automated features, Typeform for quick feature validation, or interns coordinating manually. This lets you test conversion rates and value props without building anything.
Featured guest perspectives
"It's really this Wizard of Oz experience. We don't have to build anything. I coordinated with a bunch of interns and we were able to validate some of the value prop and conversion rates that we would expect in a subscription service."— Crystal W
"The power of having a laughably small MVP for something... In the beginning it was truly, basically, a spreadsheet, and phones, and that was it. Even that... not only had tremendous impact... but also gave us so much information about we actually needed to build that was going to be helpful."— Zoelle Egner
Common Mistakes
- Using estimates as outputs instead of time budgets as inputs - this lets scope expand indefinitely
- Building components (the axle) instead of complete small products (the scooter)
- Extending deadlines when projects run over instead of cutting scope to fit the time
- Adding 'bells and whistles' to a V1 to ensure it wins - this prevents you from testing the core hypothesis
- Treating roadmap items as commitments that must be done rather than options that can be cut
Signs You're Doing It Well
- Teams instinctively ask 'what can we cut?' rather than 'how long will this take?'
- You ship complete, usable products within fixed time windows rather than incomplete pieces
- Failed cycles result in better scoping next time, not demoralized teams
- You can describe the specific hypothesis each MVP is testing
- Projects either ship on time or get killed and reshaped - nothing drags on indefinitely
All Guest Perspectives
Deep dive into what all 15 guests shared about scoping & cutting.
Anton Osika
"A lot of jargon that I like to use to emphasize what we should be striving for is building a minimum lovable product and then building a lovable product and then building an absolutely lovable product. So I took that jargon with me in the company name."
- Aim for 'lovability' rather than just 'viability' in early versions
- Iterate from Minimum Lovable to Absolutely Lovable
Crystal W
"It's really this Wizard of Oz experience. We don't have to build anything. I coordinated with a bunch of interns and we were able to validate some of the value prop and conversion rates that we would expect in a subscription service."
- Use WhatsApp groups to manually simulate automated features
- Test onboarding flows using simple in-app message overlays on existing screens
- Use Typeform for quick feature validation like personality quizzes
Daniel Lereya
"I really love using the deadline trap and it makes you focused... It removes all the theoretical discussions that people have and things like that."
- Set a fixed deadline (e.g., 3 weeks) and cut scope to fit the time rather than extending the date
- Use external events like earnings calls as 'traps' to force product delivery
Dharmesh Shah
"we had a rule in the HubSpot product... that every time you added what we thought of as a knob or dial, called a feature, you had to take one out somewhere else. That's a net amount of... it just at least forces you to think about it"
- Evaluate the 'third-order' cost of a feature: the dimensional complexity it adds to every future decision and chart.
Eeke de Milliano
"Build the scooter, not the axle. So if you're trying to build the minimum viable product for a car, don't build just the wheels and the axle, build the scooter first. And then from there, you build the bicycle, and the motorcycle, and then the car."
- Identify the smallest 'slice' that allows a customer to complete a valuable task
- Ensure the MVP is a standalone functional product (the 'scooter') rather than a component (the 'axle')
Eric Ries
"MVP is simply for whatever the hypothesis is that we're trying to test, what is the most efficient way to get the validation we need about whether a hypothesis is true or not?"
- Identify the core hypothesis first
- Determine the most efficient way to get validation
- Contain the liability of making a mistake
"The first tip is, write out the list of features that are necessary in your MVP. Cut it in half and cut it in half again and build that. Honestly, if you just do that, that's really not that bad."
- List all features deemed 'necessary'
- Cut the list in half
- Cut the remaining list in half again
Jackson Shuttleworth
"We really resist the urge to do the big V1. And I think this is, I shared the streak goal example, where, a lot of times when we're exploring something we will say, okay, well, that's cool, how do we strip away a bunch of stuff and figure out what our core hypothesis is? And then, just ship that thing first as a V1."
- Strip away all non-essential features to isolate the core hypothesis.
- Avoid adding 'bells and whistles' to a V1 just to ensure it wins; test the core mechanic first.
Jason Fried
"We instead have appetites. And our appetite for any individual feature is no more than six weeks. Essentially that's our budget we're willing to spend. I'm only willing to spend six weeks in any feature. So we have to figure out the simplest, most effective version of that to get that done within six weeks and get it done by two people."
- Set a hard maximum of six weeks for any feature development
- Treat time as a budget to be spent rather than a deadline to be estimated
- Limit team size to two people (one designer, one programmer) to maintain focus
"If we say we're going to give it six weeks and we give it seven or eight or nine or 10, then we're not really giving it six weeks, we're giving it 10, then we don't really have a system... If there's any work that's left over that's still on the left side of the hill, meaning we're still pushing it up, we don't know how we're going to do it and we're at our time limit, it almost certainly dies."
- Let projects 'die' if they aren't finished in the cycle to prevent never-ending work
- Only grant extensions of a few days if the work is in the final execution phase ('downhill')
- Avoid the demoralization of long-running projects by enforcing strict cycle ends
Matt LeMay
"And they did get it done, and they got it done through subtracting. They streamlined the experience. They took out steps that people were getting stuck on. They made things easier. They did the kinds of things that are rarely celebrated in the way that traditional feature launches were celebrated, but because they had this clear, impactful, specific sense of what success looks like, they were able to take on that work themselves"
- Look for steps in the user journey to remove rather than features to add.
- Focus on the 'commercial heart' of the business (e.g., the first successful action) when deciding what to cut.
Ronny Kohavi
"Try to decompose your redesign if you can't decompose it to one factor at a time, to a small set of factors at a time. And learn from these smaller changes what works and what doesn't. ... Do them in smaller increments, learn from, it's called OFAT one-factor-at-a-time. Do one factor, learn from it, and adjust."
- Break down complex projects into smaller, testable increments
- Use incremental testing to identify which specific changes in a redesign are actually providing value
Ryan Singer
"We’re going to go the other way around and we’re going to say, what is the maximum amount of time we’re willing to go before we actually finish something? How do we come up with a idea that’s going to work in the amount of time that the business is interested in spending?"
- Set a maximum time limit (e.g., six weeks) for any project to maintain visibility and control.
- Vary the scope of the solution rather than the deadline to ensure shipping.
"The second piece is this work that we call shaping and the shaping work is, how do we actually take this fixed amount of time that we’ve given for ourselves and vary the scope? How do we come up with a idea, some version of this that’s going to work in the amount of time that the business is interested in spending?"
- Wrestle with the problem and solution simultaneously until the idea fits the time box.
- Identify the 'must-have' moving parts that make the feature valuable and cut the rest.
"If a project is not on track to actually finish after the six weeks, we’re just going to cancel it and rethink... we’re not going to keep reinvesting in something that we don’t understand. So, let’s take this out of build mode and bring this back into shaping mode."
- If a project fails to ship, return it to the shaping phase to identify hidden complexities.
- Avoid 'overtime' debt by treating the end of a cycle as a hard stop for reinvestment decisions.
Sander Schulhoff
"Depending on what the user wants, we might be able to restrict the possible actions of the agent ahead of time, so it can't possibly do anything malicious... CAMEL would look at my prompt... and say, 'Hey, it looks like this prompt doesn't need any permissions other than write and send email.'"
- Implement dynamic permissioning to restrict agent actions to the minimum necessary for a specific task
- Separate 'read' and 'write' permissions to prevent automated data exfiltration
Vijay
"Instead of making the estimate an output of planning, you make the time box or an appetite the input, and you say, 'We want to solve X problem and we're willing to invest six weeks solving that problem.'"
- Set a fixed time box (e.g., 6 weeks) for a problem and adjust scope to fit
- Perform a thought exercise: 'What would we do differently if we only had 4 weeks vs 8 weeks?' to find the efficient frontier of cost and impact
Zoelle Egner
"The power of having a laughably small MVP for something... In the beginning it was truly, basically, a spreadsheet, and phones, and that was it. Even that... not only had tremendous impact... but also gave us so much information about we actually needed to build that was going to be helpful."
- Use existing simple tools (spreadsheets, phones) to validate a concept before building custom software
- Focus on the core utility that provides immediate impact
- Prune features aggressively to maintain agility as requirements change
Paige Costello
"We added into our product process a notion that we might pivot or cut from stuff that we put on our roadmap because it felt like once it was on the roadmap, it had to be done, and that's just not smart."
- Formalize a process step where teams can decide to cut or pivot from items already on the roadmap.
- Encourage iterative shipping and prototyping to validate scope early.
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