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When a startup gets stuck, the useful next move is often to make the problem smaller, bring a different perspective to it, or test an assumption instead of debating it. A May 24, 2025, TechBullion article by Brett Farmiloe collects 18 founder- and operator-reported approaches, from reverse-scoping a product to acting out a customer journey. They are practical examples, not proven formulas: the article does not independently verify the reported results or explain how most were measured.
Start by making the problem visible
Before adding features, hiring, or changing a plan, clarify what is actually blocking progress. These approaches help a team expose constraints, friction, and competing perspectives.
1. Map the non-negotiable constraints
Jeff Mains describes listing constraints such as no additional hires, no schedule extension, and no budget increase. The team can then look for changes within those boundaries: reassigning roles, reusing tools it already has, or narrowing features. Mains says the product shipped on time; the account provides no independent verification. This is useful when the team is treating a fixed constraint as if it were still open for negotiation.
2. Sketch the process or point of friction
Kiara DeWitt recommends drawing the process by hand. A simple sketch can make handoffs, dependencies, and missing steps easier to see than a discussion in the abstract. The point is to externalize the problem, not to make a polished diagram or choose a particular drawing tool.
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3. Consider who else is affected
Syed Balkhi suggests asking how a problem affects other stakeholders, not only the person currently trying to solve it. For example, a pricing or workflow decision may look different when considered from the customer’s, support team’s, or partner’s point of view. The article gives no quantified outcome for this approach, but the perspective check can reveal costs or needs missing from an internal debate.
4. Walk through the customer journey
Mary Case says The Happy Food Company acted out the customer experience, from browsing through unboxing. She reports that this surfaced confusing bundles, unclear delivery expectations, and weak points in the packaging experience. Case says changes that followed were associated with a 22% conversion increase within a month; the article supplies no measurement details or independent verification. The practical exercise is to follow the experience in sequence and note where a customer would have to guess, wait, or ask for help.
Reduce uncertainty before committing more resources
Startups rarely have enough time or money to build every plausible solution. Small tests and a clear definition of value can help a team learn before it scales an idea.
5. Test the idea the team expects to fail
John Mac argues that shipping a simple version of an idea the team considers a likely loser can produce behavioral evidence and expose a customer pain point the team’s assumptions obscured. The article gives no sample size or quantified result. Treat this as a way to challenge confidence, not as a reason to launch something unsafe or make claims customers could reasonably mistake for a finished service.
6. Reverse-scope from the minimum proof of value
Nicholas Malan of DevIgnite frames the question this way: “What’s the absolute minimum outcome we need to prove value?” In his example, the core test was whether users could log and export time by employee and project; secondary features could wait. The article says the MVP was delivered in three weeks, a founder-reported example rather than a delivery benchmark. Starting from the proof needed helps distinguish a testable core outcome from features that can be deferred.
7. Test an assumption, then pivot if evidence calls for it
Shah Dudayev describes a cycle: write down assumptions, test them, keep what works, and run further tests. The value is in making the assumption explicit enough to challenge. If results do not support it, adjust the product or approach rather than treating the original idea as settled. The article does not provide a quantified case or a prescribed testing method.
8. Stay close to customers before scaling
Amberly Jones says direct founder support and calls with confused users helped reveal friction and inform priorities such as joint accounts and funding flows. Direct conversations can show what customers are trying to do when product analytics alone do not explain where they are stuck. This is an approach to learning from early users, not a rule that founders must personally handle every support interaction indefinitely.
9. Bring operations and support into product decisions
Jason Hishmeh says colleagues in operations and customer support identified confusing forms and a feature that added confusion. People who see customers encounter a process in practice may notice barriers that are less visible to a product team reviewing requirements or dashboards. Their observations can help the team decide what to simplify or investigate next.
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Roman Martynenko says engineers watched user-session recordings and observed friction directly, which informed product features. The approach narrows the gap between a ticket describing a problem and the experience that produced it. The article offers no comparative performance measure, so it supports this as a source of context rather than a guaranteed way to improve product results.
11. Look for repeat demand hiding in an internal tool
David Reynolds describes an internal image utility for converting, compressing, renaming, and resizing files. After other teams and a client asked, “Can we get access to that tool?”, the internal fix became a public image-converter product. The signal to look for is recurring demand beyond the original team—not merely the existence of a useful internal script. Before making such a tool public, a team still needs to assess reliability, support, security, and whether the broader need is real.
Change how the team works when execution is the bottleneck
Sometimes the issue is not the idea but the way work is organized. The following examples focus on communication, ownership, and protecting attention.
12. Borrow a communication format from another field
Fei Chen of Intellectia.Ai says the team adapted financial analysts’ short morning briefings into a “2-minute intelligence format.” The article describes the format as reducing a long stock analysis to three insights, two recommendations, and one contrarian view. Chen’s account says engagement increased 300% within two months, but gives no measurement details or independent verification. The transferable idea is to borrow a format that makes information easier to scan, then check whether it works for the audience and decision at hand.
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13. Automate repeatable work, delegate with ownership, and review
Nicholas Robb describes automating recurring tasks, assigning work with clear ownership, and reviewing results regularly. His examples include Calendly for onboarding and ClickUp for project updates, while proposals retained human review. He reports reclaiming dozens of hours weekly and a 30% rise in close rates in 60 days; the article supplies no baseline, measurement method, or independent verification. These products are examples in his account, not tested recommendations. Automation is most useful when a task is repeatable and its errors can be caught; delegation works better when responsibility and review expectations are explicit.
14. Group work by context
Joe Spisak describes setting aside different days for vendor evaluation, customer conversations, and internal problem-solving to reduce context switching. The article reports that account managers handled 30% more clients with higher satisfaction, without underlying data or independent verification. A team can adapt the idea at a smaller scale by grouping similar tasks into blocks, while keeping room for urgent customer or operational issues.
15. Build a community around the work
Andrea Marchiotto of BlackCube Labs describes inviting members to collaborate, sharing workflows and tools, and asking for feedback, alongside the organization’s services and courses. TechBullion reports a network of 25,000+, 535+ active members, and 50+ partners, attributing the figures to the article’s account; it does not provide an independent measurement method. For a small company, the useful practice is to create ways for people to exchange knowledge and give feedback, rather than treating a product as the only point of connection.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Know when to pause—and when not to
A pause can help when a discussion has become circular or a solution is not emerging. It is not a substitute for action when a delay would expose customers, staff, or the business to immediate harm.
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- The activity pages invite individual and group work room for brainstorming , problem-solving, building, testing, and reflecting.
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- The grade level includes 12 units. Each unit contains a teacher overview and lesson plan, one original fiction passage with room in margins for annotations, and STEM activity sheets based on a single STEM problem/challenge.
16. Step away from a deadlocked discussion
Linn Atiyeh describes pausing an internal-tracking discussion that had stalled, then returning with a solution after a break. The account is an anecdote, not evidence that postponement is always helpful. If the decision is reversible and no urgent risk depends on it, a short break may create room to reconsider assumptions; for urgent issues, set an owner and a deadline for the next decision instead of letting the problem drift.
17. Let a bottleneck rest when the timing is safe
Oleh Stupak says he left a product-launch bottleneck alone for 48 hours, after which a teammate identified a fix. That interval is a detail of his story, not a generally optimal waiting period. If a pause is safe, make the problem and its owner clear so others can consider it; do not apply a fixed wait to a launch blocker with a time-sensitive customer or operational impact.
Choose a method that fits the problem
The 18 examples are not ranked or compared experimentally. A sensible choice depends on what the team needs to learn or change, and what a trial would cost.
- If the problem is unclear: sketch the workflow, map constraints, or walk through the customer journey.
- If the team is uncertain about demand or value: define the minimum proof, test an assumption, or speak directly with customers and frontline staff.
- If execution is dragging: group similar tasks, clarify delegation, or automate a repeatable step while retaining appropriate review.
- If a discussion is stuck: consider a short pause only when it is safe, with a clear owner and next decision point.
- Before expanding a solution: look for repeat demand, and assess the costs of reliability, support, and wider use.
For any method, ask how much time and money a trial requires, whether it will surface customer evidence or merely reinforce internal assumptions, which people need to participate, and whether the test is reversible. Keep a result tied to its own context: a founder-reported metric from one company is a reason to investigate an approach, not a forecast for another business.
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