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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteTo solve a business problem strategically, first define the decision and the result you need; then establish the facts, identify and prioritize the drivers, compare realistic options, and turn the chosen response into owned work with measures and review points. Use a method suited to the problem: DMAIC can help improve an existing process with measurable shortfalls, while a new design or a complete process overhaul may call for DMADV instead.
1. Define the problem as a decision
A broad symptom such as “sales are weak” does not yet tell a team what to investigate or decide. Reframe it as a question with a decision-maker, scope, desired outcome, and time horizon. For example: which customer segment or sales channel should the company investigate to address a defined decline, and by when does it need a decision?
Write down the relevant constraints, dependencies, and what is out of scope. Ask key stakeholders how they understand the issue before analysis begins: they may have different assumptions about the cause or even why they are involved. A concise problem statement that the group can debate helps make those differences visible. McKinsey’s discussion of a seven-step problem-solving process emphasizes defining the problem and making its context clear before moving into analysis.
2. Establish the current state with evidence
Describe where and when the issue occurs, which products or processes are affected, what has changed, and who experiences the effects. Use operational and customer measures that can provide a credible baseline. Be clear about what is known, what is inferred, and what information is missing; otherwise, a team can mistake an anecdote for a pattern.
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When a problem crosses functions, map the workflow and its handoffs. A process map can help show where delays or rework accumulate. The Business Development Bank of Canada’s guide describes lead times and workflow mapping as ways to examine where delay concentrates; its example is an illustration, not a general estimate of how much delay businesses should expect.
3. Break the issue into parts and prioritize
A logic tree or process map can divide a complex issue into workable branches. Consider whether more than one decomposition makes sense, then rank the branches by likely consequence, strength of evidence, and whether the business can influence them. Do not spend equal time on every possibility: investigate first the uncertainties most likely to change the decision.
Assign a work plan with responsible analysts and a timeline. The necessary depth depends on the stakes, the precision required, the available time, and stakeholder needs. McKinsey’s problem-solving discussion describes adapting the work plan to those conditions rather than treating every question as requiring the same analysis.
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4. Diagnose causes and choose a method that fits
For a simpler recurring issue: use five whys carefully
Asking “why?” repeatedly can help a team move past a visible symptom toward possible contributing causes. The answer is a hypothesis to check, not proof that one cause explains everything. Look for evidence, and broaden the investigation if the issue spans teams or has several plausible causes.
For cross-functional causes: use a fishbone diagram
An Ishikawa, or fishbone, diagram helps organize possible causes across categories or departments when a problem is more complex. The BDC guide describes five whys for simpler problems and fishbone analysis for more complex cause analysis. Neither technique replaces checking proposed causes against the facts.
For an existing process with measurable shortfalls: consider DMAIC
ASQ describes DMAIC—Define, Measure, Analyze, Improve, Control—as an improvement structure for an existing process that is not meeting performance standards or customer expectations. It begins by specifying the problem and measuring the current process, then analyzing causes, implementing improvements, and controlling the process to sustain performance. Control plans, standard operating procedures, measurement, and reaction plans can help teams respond if performance slips.
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For a new design or a complete overhaul: consider DMADV
ASQ distinguishes DMADV from DMAIC: DMADV is used for new products or services, or when a process needs a complete overhaul. The choice matters because an improvement cycle for an existing process is not automatically the right way to design something new. See ASQ’s DMAIC guidance and its DMAIC/DMADV distinction.
5. Compare strategic options against the decision
Do not adopt a generic scorecard without asking what the decision requires. For each plausible option, examine the factors that could make it valuable, feasible, or fragile:
- Value and starting position: where the business can create value and what strengths or disadvantages it brings.
- Fit and context: capabilities, competitive advantages, market dynamics, and external forces that could affect the choice.
- Future assumptions: how different plausible conditions could change the option’s appeal.
- Feasibility: timing, operating constraints, and organizational capacity to carry it out.
- Commitment required: ownership, governance, resource shifts, and changes to how work is done.
- Learning and adaptation: milestones and measures that can show whether the choice is working and when assumptions need revisiting.
McKinsey’s strategy building blocks frame strategy as diagnosis, forecast, search, choose, commit, and evolve. Its strategy execution discussion adds design, mobilization, and execution, including option selection, ownership, initiatives, resources, performance support, and testing assumptions. These are guides, not a rigid sequence to apply mechanically; the appropriate emphasis varies with the situation.
6. Turn the decision into specific work
A decision is not implemented just because it has been announced. Convert the chosen option into initiatives with accountable owners, timelines, resources, and key performance indicators. Translate long-range choices into near-term milestones that make clear what changes in people’s work and when.
Monitor whether the intervention affects the measures selected for the problem. If actual results differ from expectations, check whether execution, the original diagnosis, or an underlying assumption needs to change. The BDC guide emphasizes assigning responsibility and checking action items and business results; McKinsey’s strategy execution discussion highlights ownership, resource allocation, performance management, and adaptation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What structured problem-solving can—and cannot—tell you
Structured methods help teams clarify questions, organize evidence, and make decisions more deliberately; they do not guarantee better financial performance. The sources cited here describe methods and process guidance, but do not establish a general causal effect size or a comparable success rate for using one framework over another.
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McKinsey’s 2013 article on strategy building blocks reported that two-thirds of 200 executives surveyed felt rushed to produce outputs in strategic-planning processes, and that two-thirds of surveyed executives said their companies struggled with conditions for successful implementation. Those are historical survey findings reported by McKinsey in 2013, not current estimates or universal business rates.
For further reading, the McKinsey problem-solving discussion identifies Charles Conn and coauthor’s Bulletproof Problem Solving: The One Skill That Changes Everything (John Wiley & Sons, 2018).
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