module · 10 designed study hours
4. Strategy and focus
Free manuscript edition. Keep your reflections in your own notebook. No account, live AI use or product purchase is required. This is not an accredited qualification.
- Compare segmentation and targeting choices against mission and constraints.
- Develop positioning with evidence, alternatives and delivery limits.
- Defend a strategic choice and two serious rejected options.
Lesson
Strategy chooses what not to do
A strategy connects a mission, a diagnosis and a set of choices. A list of channels does not explain why one audience matters now, why the offer fits or which work should stop. Small organisations cannot serve every plausible audience equally. Strategy makes those limits explicit so that resource allocation is a decision rather than the accumulated result of requests.
Start with the problem definition and its uncertainty. If the fictional advice service does not know why enquiries fail to become bookings, choosing a channel mix is premature. You can still make a strategic choice: prioritise learning about access before expanding reach. Strategy can sequence uncertainty reduction, not just prescribe a permanent market position.
Segment by a relevant difference
Segmentation groups people or organisations in ways that matter to a decision. Demographics may sometimes be useful, but age alone will not explain whether someone can attend a weekday appointment. Needs, situations, referral routes, buying processes or barriers may be more relevant. A segment is useful when it suggests a different offer, access route or relationship that the organisation can actually support.
Avoid creating many detailed segments from little evidence. A fictional persona with a name and hobbies can feel vivid while adding nothing to the decision. Prefer a plain description such as 'eligible enquirers unable to use weekday appointment times', clearly labelled as a hypothesis if no evidence establishes its size. State the basis of the grouping, its uncertainty and who might be excluded.
A commissioner and a service user should not be forced into one segment because they are connected to the same programme. They make different decisions, face different alternatives and need different information. You may need separate communication paths linked by a coherent service promise. The mission determines which interests constrain the other, rather than assuming the payer's preference always wins.
Target with an ethical and operational argument
Targeting allocates attention and resources. It can be justified by mission importance, unmet need, feasible access and the organisation's capacity to provide value. A group that is easy to reach is not necessarily the one the mission should prioritise. Conversely, naming the hardest-to-reach group without a practical route or support capacity does not make a plan equitable.
Use a small decision matrix to make disagreement visible. Compare options on mission contribution, evidence of need, feasibility, exclusion risk and learning value. Explain scores in words. A weighted total can organise judgement but cannot turn uncertain assumptions into objective truth. Check whether changing a plausible weight changes the preferred option. If it does, the strategy may depend on a value judgement that needs discussion.
In the advice case, improving eligibility information and response handling may serve current enquirers within the existing ceiling. Broad promotion might reach more eligible people, but it also creates a handling burden. A partner-led route could help people without easy digital access, but partners need accurate capacity information. None is automatically best; compare them against the same decision and constraints.
Position against a real alternative
Positioning describes why a particular audience would choose this offer rather than an alternative. The alternative might be another provider, informal help, delaying action or doing nothing. A useful positioning statement names the audience situation, the relevant value, a credible reason to believe it and a limitation. It is an internal decision aid, not necessarily a public slogan.
'We are the most trusted local charity' is not a positioning argument without comparative evidence and a defined meaning of trust. 'We help eligible residents understand their next advice step through a clear booking route and a stated response process' is more specific, but it becomes a public promise only if the organisation can deliver it. Do not promise a response deadline before operations have confirmed it.
Consider a fictional social enterprise selling repair workshops to employers. The participant values useful skills and a respectful experience; the buyer may value reliable delivery, safeguarding arrangements and a clear total cost. A strategy focused only on inspirational social impact can overlook the purchasing process. A strategy focused only on procurement convenience can lose the mission. Positioning must join both without inventing impact evidence.
Compare focus with broad reach
Focused targeting can make limited resources useful where a specific barrier or need is clear. Broader reach can matter when many potential supporters are infrequent decision-makers and a narrow list would miss future demand. The question is not which principle is universally correct. It is which combination fits the mission, evidence, budget and time horizon.
Commercial arguments about reach, loyalty or brand growth should be examined for their populations, methods and outcomes. A pattern in consumer purchases does not establish the right response for a capacity-limited advice service. Equally, a charity label does not make all commercial findings irrelevant. Identify the proposed mechanism and ask which conditions are shared, which differ and what local test would be proportionate.
Sequence the choices if necessary. A service might first repair access, then inform a small set of referral partners, then consider broader communication once safe capacity is confirmed. This is not indecision. It is a strategy whose later stages depend on evidence from earlier ones. Name the trigger for moving on rather than leaving a vague promise to scale.
Make rejection and reversal visible
A choice memo should include at least two serious rejected options. Describe each fairly, explain when it could be better and state why it is not preferred now. This protects against a common failure: inventing a weak alternative so the favourite appears inevitable. If every option leads to the same channel recommendation, check whether the diagnosis is doing any work.
Finish with a resource consequence. State which work receives hours, which work stops and what remains uncommitted while uncertainty is high. A strategy that adds priorities without removing or deferring work is unlikely to guide a small team. The most credible memo may recommend a modest action with a clear reversal rule rather than a sweeping plan whose assumptions cannot be checked.
Test whether your choice survives a changed assumption
A sensitivity check is a way to locate the judgement carrying the recommendation. Suppose partner-led discovery looks best only because you assume partners can update their information without staff support. Replace that assumption with two hours of coordination per month. Does it still fit the 20-hour project allowance after investigation, review and handoff? If not, you have found a dependency, not disproved partnerships as a general strategy.
Try a mission-weight change as well. If the team gives more priority to people excluded by digital routes, a lower-volume partner option might become preferable. Explain that shift as a value-and-evidence judgement rather than calling the original spreadsheet wrong. Numerical weights should make the discussion more transparent, not conceal who decided what matters.
Finally, examine a scenario in which your preferred option fails its own mechanism. If eligibility information is already well understood, rewriting it may add little. What would you do instead, and which reserved resources would let you change course? A strategy that survives only by changing its story after every contrary finding is not genuinely testable. State the conditions in advance. A robust choice need not win under every imaginable assumption; it should remain reasonable across plausible conditions or have an affordable route to revision. That is particularly important for a small organisation, where a mistaken commitment can consume the hours needed to discover a better one.
Study allocation and completion
Allocate 1.5 hours to this lesson and worked example, 1.5 to critical reading, 2 to the lab, 3 to the assignment, 1 to critique and 1 to reflection and revision: 10 hours in total. These are planning allocations, not measured duration or a timed assessment. Read in short sessions if helpful. All resources are plain text; a notebook, calculator or optional free spreadsheet is sufficient. No video, AI account or paid service is needed.
For critical reading, use the linked selection if accessible and the internal reading comparison. Record its question, argument, evidence type, assumptions and one reason it might not transfer to your organisation. A missing external reading does not prevent completion: compare the two original internal positions and state that you have not appraised the external source. Keep a source log with title, URL, access date if accessed, claim supported and limitation. Links are references, not permission to copy or upload readings to AI.
Complete the lab manually first. The supplied simulated AI output is authored teaching material, not a transcript, real research or verified model performance. Mark each claim supported, unsupported or contradicted. Optional live AI may generate alternatives from these fictional inputs only; record tool, date, instructions, checks and revisions. Never supply personal, confidential or unauthorised material. If not using AI, compare the supplied output against your manual work and label that route accurately.
For critique, use the rubric and annotated example, alone or with a consenting peer; no peer is required. For reflection, revise one consequential decision and record the old choice, new choice, evidence and unresolved uncertainty. Keep work locally. Self-completion records learning activity, not professional competence or an independently assessed award. Version: 1 November 2026; report suspected errors through the course host's available contact route, or retain a correction note if no route exists.
Practice
Practical lab — 2 hours
Compare three options: broad promotion, booking/access repair and partner-led discovery. Score each 1–5 on mission fit, evidence, feasibility, exclusion risk and learning value, explaining every score. Change one weight and one uncertain assumption. Record whether the ranking changes. No score is a real case outcome.
Portfolio assignment — 3 hours
Write a 900-word strategic choice memo, including priority audience, offer, relevant alternatives, resource consequences, rejected options and a reversal trigger. Add a sensitivity table. Begin the 1,500-word critical comparison, to be completed with Module 6; its combined weight is 20% of the final portfolio.
Critique — 1 hour
Use the rubric and annotated example to challenge your main choice, alone or with a consenting peer. Write the strongest objection before consulting the example.
Reflection and revision — 1 hour
Revise one consequential choice. Retain both versions and explain the evidence, trade-off and remaining uncertainty. No live AI or external participation is required.
Rubric and self-review
Self-review weights: evidence and source appraisal 25%; critical reasoning 25%; contextual fit 20%; feasibility and evaluation 20%; clarity and reflective judgement 10%. Score each 0–4; total = sum(weight × score / 4). These are illustrative learning criteria, not validated academic grades.
Evidence: ground segmentation in relevant differences, not invented personas. Reasoning: compare focus and broad reach fairly and test weight sensitivity. Context: distinguish payer and user. Feasibility: specify what stops. Reflection: show a plausible condition favouring a rejected option.
A 0 is missing or misleading; 1 asserts without support; 2 provides partial relevant support; 3 links evidence, alternatives and a feasible action; 4 examines a strong contrary explanation and specifies a reversal condition. Correct invented evidence, privacy risks and unsupported public promises before self-completion regardless of the total.
Annotated example
Weak: 'Target everyone on every platform because our cause matters.' Mission breadth does not create delivery capacity. Competent: 'Prioritise current enquiries because there is a measurable journey loss.' Strong: 'Prioritise investigation and a bounded access change, reserving promotion until response handling and eligibility are understood. Partner-led discovery is next if excluded groups remain poorly served. If the audit shows appropriate non-bookings rather than friction, shift the priority to discovery.' Annotation: the stronger memo gives resources a sequence and makes its diagnosis reversible. A matrix total without reasons would not justify the same conclusion.
Workbooks and resources
Fictional dataset and text worksheet
Fictional advice constraints remain £1,000 and 20 hours for 90 days. Options for planning, not proven interventions: A broad social promotion, proposed 10 hours; B eligibility and response review, proposed 8 hours; C partner briefing and capacity updates, proposed 7 hours. Costs and effects are unknown until budgeted. Worksheet: option | mission fit | evidence | feasibility | exclusion risk | learning | rejected because | reversal condition.
Original internal reading comparison
Position A: focusing on a clearly defined priority makes small budgets useful. Position B: overly narrow targeting can miss future users and supporters. Compare each mechanism, the time horizon and the service-capacity assumption. Use a linked strategy lecture or textbook discussion as an external comparison if available, not as proof of charity outcomes.
Simulated AI output — authored teaching material
"Choose young urban professionals because they are the most engaged donors. Use every channel and promise same-day appointments. All segments score five." Identify invented evidence, conflated donor/user roles, an unverified operational promise and a matrix that cannot discriminate options.
Further reading
External readings are linked, not reproduced. Notes record the source checks and reuse limits reviewed on 1 November 2026.
- OpenStax: Principles of Marketing
Publisher preface checked 1 November 2026: Principles of Marketing, Albrecht, Green and Hoffman; publisher citation dated 25 January 2023. Publisher-stated terms are CC BY-NC-SA 4.0, with art/trademark exceptions and separate prior written permission required for LLM training or ingestion. This course links rather than reproduces the text; do not upload it to AI tools. Read relevant concept sections using the contents. If unavailable, use the original lesson and its internal reading comparison.
- MIT OpenCourseWare: Marketing Management, fall 2010
Course record checked 1 November 2026: Natalie Mizik, Fall 2010. OCW terms state CC BY-NC-SA 4.0; separately listed external readings have their own terms. Select a relevant lecture or assignment and inspect its assumptions. Historical commercial teaching is a comparison, not current charity evidence. Internal reading alternative is supplied.