# Problem Fit Scan | Is Your Problem Worth Exploring Differently? > A 3–4 minute adaptive scan that reflects back whether your problem looks genuinely complex, how urgent it is, and whether SQT may be a fit. Directional, not a technical diagnosis. - Canonical page: https://spinqtech.com/problem-fit - Language: en - Last significant update: 2026-09-12 - Site overview for agents: https://spinqtech.com/llms.txt --- ## Is this problem worth exploring differently? SQT PROBLEM FIT SCAN Answer a few quick questions about the problem, how it behaves and why it matters. We’ll help you understand whether it looks genuinely complex, how urgent it is, and whether SQT may be a fit. About 3–4 minutes · Mostly clicks, not typing · No technical knowledge required ## About the Problem Fit Scan ### Blocks #### What is the Problem Fit Scan? The Problem Fit Scan is a short, adaptive questionnaire that reflects your own problem back to you. It estimates whether the problem looks genuinely complex, how urgent it is, and whether SQT is a sensible partner for solving it. It takes three to four minutes and asks nothing technical. #### How does the scan work? You answer five short stages: what you are trying to improve, how the problem behaves as it grows, what it costs you today, how you currently solve it, and how ready your organization is to act. Later questions adapt to your earlier answers, so you are never asked something the scan can already infer. #### What can the scan conclude? It returns one of six directions: Strong Exploration Candidate, Understand the Problem First, Build the Case First, Solve the Simpler Problem First, Probably Not an SQT Problem, or Complex Problem — Different Expertise May Be Required. Two of those six recommend that you do not work with SQT, because a hard problem is not automatically an SQT problem. #### What makes a problem computationally complex? Complexity appears when the number of possible answers grows far faster than the number of variables. Common signals: adding one more variable sharply increases how hard it is to plan, several objectives conflict, uncertainty materially changes the right decision, or your team accepts a “good enough” answer because finding a better one costs too much time. #### Does a complex problem mean I need quantum computing? No. Most complex problems are best solved with classical optimization, simulation, a better formulation or an operational fix. SQT establishes a baseline first and lets the evidence decide the method. Quantum is allowed to lose. #### What the scan is not It is not a technical diagnosis, a scientific score, a feasibility study or a guarantee of results. It is a directional assessment based on your answers, meant to help you decide whether a deeper conversation is worth having. ## Progress Problem Complexity Impact Current Approach Fit Complete ## What are you trying to make better? Where does this happen? ### Intent #### Plan Schedules, routes, sequences, capacity. #### Allocate People, inventory, machines, capital or other limited resources. #### Decide Make better choices when information or conditions are uncertain. #### Improve Flow Reduce bottlenecks, delays, waste or conflicting priorities. #### Navigate the Future Explore scenarios and decide what to do now. #### Something Else None of these quite fit. ### Context Operations Logistics Manufacturing Supply Chain Workforce Projects Technology Energy Customer Operations Other ## What happens when you try to find a better answer? What this means These are signals, not a diagnosis. Which looks more like your situation? ### Signals Too many alternatives to compare Multiple constraints have to work at the same time Improving one thing makes something else worse Conditions change before the plan is finished One change affects many other decisions Important information is uncertain Different people produce different answers None of these ### Insights You’re dealing with combinatorial explosion. The number of possibilities makes it mathematically impossible to check every combination. You have competing rules and limitations. Finding an answer that satisfies all rules is difficult. You’re balancing competing objectives. When one metric goes up, another goes down. Your problem exists in an uncertain environment, requiring robust decisions that hold up when reality diverges from the plan. This looks like a more straightforward problem without the typical indicators of high complexity. Your problem has interesting complexity characteristics. ### Discriminator We mostly know the right answer. The challenge is executing it consistently. Even with good execution, determining the best answer is difficult. ## Stage3 How does this problem affect the business? How often does this problem come up? When it happens, how significant is the consequence? What are you already paying because this remains unsolved? Select up to 3 primary costs. If nothing changes during the next 12 months, what happens? Continue ### Frequency Occasional Frequent Constant ### Consequence Limited Moderate Significant ### Costs Time Cost Capacity Revenue Customer experience Risk People / burnout Speed Opportunity Not sure ### Urgency The situation is acceptable. Friction continues but remains manageable. Costs or constraints keep increasing. Growth becomes harder. Important opportunities are lost. Risk becomes unacceptable. I don’t know yet. ## Stage4 How do you make this decision today? Where does the current approach reach its limit? Which statement is closer to reality? Continue Technology may be part of the answer. The Scan evaluates the problem first. ### Methods Human expertise Spreadsheet ERP / business system Specialized software Rules / heuristics Analytics / BI AI Optimization tools Custom software Mostly manual Other ### Limitations Takes too long Requires too much manual work Cannot consider enough alternatives Breaks when conditions change Depends too heavily on specific people Cannot balance all the constraints Gives an answer but we cannot tell how good it is It actually works well We don’t know ### Bias We need a better technology. We need a better way to understand and solve the problem. ## Stage5 How ready is this problem to be explored? Assess the maturity of your problem definition. Dimension What would make this exploration valuable? Select the main reason for looking into a new approach. Anything important we missed? e.g., We are currently evaluating new planning vendors for Q3. Optional. One sentence is enough. Do not include confidential, personal or sensitive information. Skip this step Continue ### Readiness Rows #### Problem Clarity Problem clarity We know something is wrong We can describe the decision clearly #### Baseline Current baseline Hard to measure today We know how the current approach performs #### Evidence Evidence / data Very little available Enough examples or data exist to investigate #### Testability Ability to test Change would require a major transformation We could test an alternative on a limited scale ### Fit Intents Prove there is a better way. Understand the problem properly. Build and compare alternative models. Test an approach through a small experiment. Validate a specific technology. Improve the existing solution. We mainly want to use quantum. Not sure. ## Here’s how your problem currently looks. Review your inputs before generating your tailored fit insight. See my Problem Fit Insight Change Problem Your primary focus area. Complexity Based on constraints and trade-offs. Impact Based on urgency and frequency. Current Approach Based on methods and limitations. Readiness Based on clarity and baseline data. Unspecified problem ## Scan Result What shaped this recommendation? This is a directional assessment based on your answers, not a technical diagnosis. ### Dimensions #### Complex Problem Potential Structural difficulty and computational complexity signals. #### Awareness & Urgency Economic impact, frequency, and consequences of inaction. #### SQT Fit Alignment with SQT methods and readiness for experimentation. ### Recommendations #### Strong exploration candidate Your answers suggest that the problem is economically meaningful, structurally difficult and sufficiently defined to justify deeper exploration. Problem first. Method second. #### Understand the problem first There are signs of meaningful complexity or value, but the problem needs more definition before an experiment would be credible. Clarifying the decision, constraints, baseline or available evidence is likely to create more value than choosing a technology now. #### Build the case first The problem may be worth exploring, but the case for acting is not yet strong enough. Quantifying the impact, frequency, opportunity cost or strategic importance should come before deeper technical experimentation. #### Solve the simpler problem first Your answers suggest that advanced computational experimentation may be premature. Technology should not make a problem more complicated than necessary. #### This may not need advanced problem-solving methods Your answers currently point more toward a straightforward operational, process or execution issue than a structurally complex decision problem. More sophisticated technology would not necessarily create a better result. #### Complex problem. Different expertise may be required. The problem appears genuinely complex, but the expertise required may fall outside SQT’s current capability or operating model. The right next step may be to involve a specialist with deeper domain or technical expertise in this area. ## Get your complete Problem Fit Insight We’ll send you a concise summary of what appears complex, what may be limiting the current approach, the strongest uncertainties we see, and the next step that appears most sensible. Full name Full name Email your@email.com Company Company Website yourcompany.com Position / Role Position / Role Country Country Your Problem Fit Insight is on its way. Check your inbox in a few minutes. We’ll only use this to send your insight. No spam, no sales sequence. --- Generated from the same content source as https://spinqtech.com/problem-fit. Spin Quantum Tech (SQT) is part of Bernier Group.