module · 10 designed study hours
5. Services and value
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.
- Describe value and financial/non-financial costs for different roles.
- Map a service including backstage work, cancellation and capacity.
- Draft and evaluate an accessible offer without unsupported promises.
Lesson
The offer includes the effort required to use it
People judge an offer through what it helps them do and what it costs them in money, time, effort, uncertainty and exposure. A service advertised as free can still require travel, time away from work, difficult paperwork or a conversation that feels risky. Marketing that ignores these costs may persuade people to start a journey they cannot finish.
Value is not a single organisational slogan. An advice client may value a usable next step; a funder may value fair access and accountable provision; a referral partner may value a dependable handoff. Describe these separately before claiming they align. An offer brief should state the benefit, eligibility, practical steps, limits and what the organisation needs from the participant.
Separate the promise from the process
A service promise describes what someone can reasonably expect. The process is how the organisation delivers it. If the promise says 'easy booking' but staff must re-enter information across several systems, the process may not support the claim. Do not solve an operational mismatch by making the words more persuasive. Either change the process, narrow the promise or postpone publication.
Map both visible and backstage actions. The person reads eligibility information, sends an enquiry, receives a response, chooses a time and attends. Staff check fit, answer questions, manage slots and prepare. Partners may support interpretation or referral. A delay can originate backstage even when the public form looks clear. Record handoffs and responsibility rather than drawing only the screen sequence.
Include failure and reverse paths. What happens if someone is ineligible, cannot attend, needs a different format or wishes to cancel? Can they receive an appropriate alternative without repeated explanations? A journey that handles success but leaves cancellation confusing wastes capacity and creates pressure. A respectful exit is part of the offer, not a loss to conceal.
Treat capacity as a chain
The advice case has room for 40 attended appointments per month, but appointment slots are not the only capacity constraint. Staff must respond to enquiries, check eligibility, book, prepare and follow up. A campaign that fills appointment capacity may first overwhelm the enquiry stage. Estimate work at each stage and identify where the next bottleneck would appear.
The fictional lab supplies illustrative handling times. They are not measured productivity standards. Multiply stage volumes by time per item and keep assumptions visible. If each enquiry takes 12 minutes, 72 enquiries imply 864 minutes, or 14.4 hours of routine handling. That routine work is not automatically part of the separate 20-hour improvement-project allowance. Mixing these budgets hides an operational burden.
Ask whether a proposed change substitutes work or adds work. Clearer information might reduce repeated questions, but maintaining it takes time. An additional booking route might improve access while requiring coordination to avoid duplicate slots. A spreadsheet can help calculate scenarios; a notebook can do the same. Neither makes the uncertain handling times accurate.
Distinguish financial and non-financial price
For a paid social enterprise offer, price contributes income and signals terms of exchange, but it should be compared with costs, capacity and the buyer's alternatives. For a free advice service, financial price may be zero while other costs remain significant. Avoid assuming that no fee means no barrier.
A proposed deposit to reduce non-attendance would change access and might exclude people who most need help. It requires a stronger ethical and operational argument than a claim that 'people value what they pay for'. Compare less exclusionary options, such as a clearer cancellation route or appointment choice. In the fictional case, no deposit or real payment is required or authorised.
For the fictional business-to-business repair workshop, distinguish the participant experience from the employer's purchasing needs. The buyer needs scope, delivery terms, access arrangements and a clear total cost. Participants need a suitable task, understandable instructions and a way to opt out of an unsuitable activity. A buyer's satisfaction cannot stand in for participant benefit or safety.
Test an offer before making a public promise
An offer prototype can be a plain-text service description, a booking script or a cancellation explanation. You do not need a polished website. Ask whether a reader can identify who it is for, what happens, what is not provided and how to get help with the next step. Use the fictional case for self-checks or review with a consenting peer; do not present either as actual service-user testing.
Separate comprehension from preference. A reader may understand an offer perfectly and decide it is not suitable. That is not necessarily a wording failure. Conversely, someone may like the tone while misunderstanding eligibility. A useful test asks them to explain the next step in their own words, not merely rate how appealing the page looks.
Accessibility belongs in the process as well as the text. Provide a text-only route, descriptive headings, clear instructions and alternatives to a task that requires seeing or hearing a particular format. Do not claim full accessibility from a readability score or a single checklist. Real review with varied needs remains necessary; record what you have and have not tested.
Make a feasible service decision
Compare two service changes by their intended mechanism, evidence, resource demand and effect on people. A clearer eligibility explanation might reduce unsuitable enquiries; a change in appointment times might improve practical opportunity. The best choice depends on what the evidence establishes, not which prototype is easiest to produce.
Your service brief should include a capacity assumption and a response when capacity is reached. Do not invite people into a dead end. A waiting or referral route must be described accurately and owned operationally before it is promised. Where that route is not configured, keep the proposal internal and state the missing prerequisite. Honest limits preserve trust more effectively than a frictionless promise the organisation cannot fulfil.
Compare two complete journeys, including failure
Consider an enquiry submitted just before a person's work shift. Journey A sends a long automatic reply with no clear distinction between eligibility and preparation. Journey B gives a concise eligibility explanation and a clear next step, while stating only availability that operations can confirm. The second sounds better, but the comparison is still a design hypothesis. You must check whether people understand it and whether staff can maintain it.
Now add a failure: the person cannot use any available time. A complete journey needs an accurate account of what they can do next. 'Contact us for alternatives' is not a solution unless someone can respond and an alternative process exists. If no alternative is available, state the limit and propose an internal improvement rather than inventing a reassuring route. Honest disappointment is preferable to a promise that prolongs uncertainty.
In your workload table, include the cost of each exception. If ten enquiries require an extra explanation, how much staff time would that add under an explicit illustrative assumption? Keep the calculation separate from a claim about how many exceptions will occur. This reveals whether the design depends on invisible labour. It also helps compare a change that reduces repetitive questions with one that merely moves them to a different staff member. Service value includes the person's effort and the organisation's ability to respond dependably; neither is captured by the visual neatness of a prototype.
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
Calculate the routine handling time for the supplied scenario. Keep it separate from improvement-project hours. Draft a text-only offer and cancellation route. Compare eligibility clarification with a change in appointment availability. Check the supplied AI proposal for access harms and unsupported capacity assumptions.
Portfolio assignment — 3 hours
Create an offer brief, approximately 800 words plus a journey and capacity table. Include user/payer value, eligibility, exclusions, practical steps, alternative formats, backstage owners, cancellation, full-capacity behaviour and two intervention scenarios. Explain which promises remain internal proposals until operationally confirmed.
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: label handling times as illustrative. Reasoning: compare perceived value and actual process. Context: include non-financial costs and payer/user differences. Feasibility: account for routine work, project work and reverse paths separately. Clarity: make limits and next steps understandable.
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: 'Free advice has no access barriers.' It ignores time, effort and practical opportunity. Competent: 'Explain eligibility and cancellation clearly, then monitor booking.' Strong: 'Publish only the booking steps operations can support. The illustrative 72 enquiries at 12 minutes require 14.4 routine hours, separate from the 20 improvement hours. A new evening option needs staffing confirmation; if unavailable, do not promise it. Compare clearer eligibility with timing changes before choosing.' Annotation: a sound calculation is not a measured workload finding, and a proposed accessible route is not proof it has been tested.
Workbooks and resources
Fictional dataset and text worksheet
Fictional workload scenario: 72 enquiries at 12 minutes each; 24 bookings at 5 additional minutes each; 15 attended appointments at 45 minutes each. These stages are additive in this scenario only. Total routine work = 14.4 + 2 + 11.25 = 27.65 hours. Improvement allowance remains 20 separate hours over 90 days. Fictional repair workshop: one employer buyer, up to 12 participants, one facilitator; price and costs to be designed, not assumed. Worksheet: promise | public step | backstage action | owner role | failure/reverse path | time assumption.
Original internal reading comparison
Position A: communication should explain the value of the existing service more clearly. Position B: communication cannot repair an unsuitable service; redesign access first. Compare them against eligibility uncertainty and shift conflict. What evidence distinguishes a comprehension problem from a delivery problem?
Simulated AI output — authored teaching material
"Introduce a £20 deposit and guarantee everyone an evening slot. The service is free, so nobody faces cost barriers, and automation removes all staff work." Identify contradictions, exclusion risk, an uncosted service promise and the unsupported claim that automation has no maintenance burden.
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.