Compare consumer decision models and strategies
Compare utility, satisficing and prospect theory, then choose a compensatory or non-compensatory strategy and assess how an online store can shape that choice.
Original StudyForA teaching mapped to the Cambridge 2028–2030 Version 1 syllabus. It is not Cambridge material, an official mark scheme or an awarded grade. Study findings are bounded by their samples, tasks and settings.
Before you begin
- This lesson covers Cambridge Psychology 9990 Consumer Psychology section 2.3.1 in the 2028–2030 Version 1 syllabus. Decision models describe possible processes; they do not classify shoppers as fixed types.
Work on paper. Try each question before revealing help, and explain why your method works.
Quick readiness check
A shopper chooses the first phone that meets their price and accessibility requirements. Which model best describes this stopping rule?
What you will learn
- Explain utility theory, satisficing and prospect theory with consumer examples
- Distinguish compensatory, non-compensatory and partially compensatory strategies
- Apply decision strategies to internet shopping and evaluate website design using Jedetski et al. (2002)
- Evaluate everyday application, cultural differences, reductionism versus holism, determinism versus free will, and idiographic versus nomothetic explanations
Decision models make different assumptions about how a choice is made
Utility theory describes a decision-maker comparing available alternatives and selecting the one with the greatest expected utility, subject to constraints such as price and budget. Utility represents how valuable an outcome is to that person; it is not necessarily a visible number or the same for everyone. The model is useful for organising trade-offs, but real shoppers may lack time, information or stable preferences to compare every option.
Satisficing, associated with Herbert Simon’s bounded-rationality account, describes a person setting an acceptable threshold, searching through options and stopping when one meets the threshold. A student who needs a reliable laptop below a set price may stop at the first option with enough memory and battery life rather than inspect every laptop. Satisficing can be efficient; it does not mean the shopper is careless.
Prospect theory explains choices involving risk relative to a reference point, such as the current price or expected outcome. People may value a gain and an equivalent loss differently: losses often have greater psychological impact than gains of the same size. Sensitivity also changes with distance from the reference point, and stated probabilities may be weighted non-linearly. A ‘save $20’ message can therefore feel different from ‘avoid losing $20’, even when the amounts are equivalent. Framing changes the presentation, not the objective arithmetic.
These are explanatory models, not labels for permanent kinds of people. The same shopper may compare carefully for a costly purchase, satisfice for a routine one and react to a loss frame in a sale. Choice depends on goals, available information, the situation and how the options are presented.
Decision strategies differ in whether attributes can compensate for one another
A compensatory strategy allows strength on one attribute to make up for weakness on another. A shopper might compare laptops by assigning importance to price, battery life and weight, then accept a heavier laptop if its longer battery life and lower price make the overall trade-off worthwhile.
A non-compensatory strategy uses a rule that an option cannot offset. With a minimum battery threshold of eight hours, a laptop that lasts six hours is eliminated even if it is inexpensive. A lexicographic rule chooses the option best on the single most important attribute; elimination-by-aspects removes options that fail successive cut-offs.
A partially compensatory strategy combines stages. A shopper may first eliminate phones without a required accessibility feature, then compare the remaining phones by price, battery and camera. This is partly compensatory because trade-offs are allowed in the shortlist but not across the initial essential requirement.
No strategy is automatically best. A short rule can reduce effort and protect a non-negotiable need. A weighted comparison can use more information but depends on sensible weights and reliable information. A decision can also change when a site makes some attributes easier to see than others.
Website design can support comparison and can also steer attention
Filters, transparent prices, accessible product specifications, sorting and side-by-side comparison can make attribute information easier to use. Default ordering, preselected options, badges, limited comparisons or a large number of alternatives may change which information a shopper notices or how much is considered. A design choice is not neutral simply because every item is technically available.
Jedetski, Adelman and Yeo (2002) compared website decision technology using purchase-choice tasks for answering machines, baby monitors, golf clubs and toasters. CompareNet let participants sort products by attributes and compare alternatives side by side. Participants used more compensatory strategies and reported greater satisfaction when using that technology. The authors also examined the number of alternatives; the headline result should not be inflated into a claim that every comparison tool improves every real purchase.
The study supports a link between interface support and the strategy used in those tasks. It does not show that participants completed real purchases, that satisfaction proves the selected product was objectively better, or that the result applies to every product, culture and current shopping platform. A stronger follow-up could record both strategy and actual choices across several product types and users.
Responsible design makes important information findable, comparisons understandable and the consequences of a choice clear. It avoids hiding costs or using a misleading default to pressure a student into a purchase.
Use the syllabus debates to qualify an explanation
Application to everyday life asks whether a model helps explain a real decision and what it can improve. A model may help a shop build a clearer comparison page, but the tested interface and the shopper’s actual goal matter.
Cultural differences may affect reference points, meanings, acceptable trade-offs and familiarity with shopping interfaces. A sample from one market cannot establish a universal preference; translation and local product knowledge also matter.
A reductionist account may isolate price framing or one decision rule; a holistic account also considers goals, family, culture, access needs and the purchase setting. An idiographic explanation studies one person’s reasoning in depth; a nomothetic account looks for broader patterns across shoppers.
Determinism asks whether a choice is explained by prior influences such as a reference price or page layout; free will highlights a person’s capacity to reflect and choose. Evidence that a design shifts choices does not mean it determines every decision. These positions can be evaluated together rather than treated as all-or-nothing.
Sources for this lesson
Pause and explain
Which statement best describes a partially compensatory strategy?
Worked example
A student needs a laptop under $700, at least eight hours of battery life and a light weight. One model meets the first two requirements but is heavier; a second is lighter but lasts six hours. Classify a sensible decision strategy and explain how a comparison page could affect it.
Show the worked solution
- Identify which requirements are hard cut-offs and which can be traded off.
- Explain whether the student compares attributes across all options or eliminates options that fail a threshold.
- Separate support for a decision from a design that hides or overemphasises information.
Answer If eight hours and the price cap are non-negotiable, the student can first eliminate options that fail either threshold, then compare weight and other features among the remaining models. This is a partly compensatory strategy: screening is non-compensatory, while trade-offs are allowed afterwards. A clear side-by-side page can support that comparison; a hidden battery specification could distort it.
Try a topic test
Choose Easy, Normal or Difficult. Save your answers and open worked review after finishing.
Test this topic →From guided practice to a new situation
Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.
A shopper has a strict $500 budget and wants a phone with a good camera and long battery life. Explain how a partially compensatory strategy could work.
Give me a hint
Separate an absolute requirement from attributes that can be traded off.
Compare my reasoning
- Treat the $500 budget as a cut-off and eliminate phones above it.
- Compare camera and battery among the affordable phones, allowing a stronger camera to compensate partly for a shorter battery life if the shopper’s priorities permit.
- Explain that this is a model of the process; the shopper’s real priority weights and information still matter.
The shopper can first use a non-compensatory budget limit, then compare camera and battery among phones under $500. That is partly compensatory because later strengths may offset weaknesses, while the budget cannot be offset. The result depends on the shopper’s priorities and the accuracy of the specifications.
Look for these in your work
- Cut-off identified
- Trade-offs distinguished
- Assumptions qualified
A shopping site introduces attribute filters and side-by-side comparisons. Use Jedetski et al. (2002) to evaluate one likely benefit and one limit of predicting what shoppers will do.
Give me a hint
State what the study found, then separate its task from an actual market purchase.
Compare my reasoning
- CompareNet supported sorting by attributes and side-by-side comparison; participants used more compensatory strategies and reported greater satisfaction.
- The tasks used selected product categories and measured choices and strategies in a study setting, not completed purchases across every shopping platform.
- A follow-up could record actual choices and test users and products from more than one setting.
The tools may help shoppers compare product attributes: in Jedetski et al.’s tasks, participants used more compensatory strategies and reported greater satisfaction with CompareNet. That result does not prove all online shoppers make better real purchases, so a retailer should test actual choices and more than the original product categories.
Look for these in your work
- Finding stated accurately
- Study limit tied to measure
- Useful follow-up proposed
A ticket website places one fare in a bright ‘recommended’ box, but hides baggage fees until checkout. Apply a syllabus debate and propose a fairer test of the design.
Give me a hint
Explain both the individual decision and the situation, then define an outcome beyond clicks.
Compare my reasoning
- The bright box and late fee information are situational features that could shape attention and reference points; shoppers still differ in budget, goals and prior experience.
- A deterministic account predicts that page cues can influence choice; a free-will account recognises that shoppers may compare, question or reject them. Neither means every person responds identically.
- Randomly assign consenting users to transparent versions of the page and compare full-price understanding, fare selection and comprehension, not only clicks; disclose the test and protect user data.
The recommendation box and hidden fee are situational influences, while a shopper’s goal and budget also matter. A fair test could compare transparent layouts, show the total price before choice, and measure both selection and understanding. The design should support informed choice rather than rely on an undisclosed framing effect.
Look for these in your work
- Individual and situational factors considered
- Debate applied without an absolute claim
- Fair outcome measure and transparency included
Common mistakes
- Treating utility as one objectively measurable score shared by all consumers
- Calling a satisficing choice irrational without considering limited time or information
- Confusing a non-compensatory cut-off with a weighted trade-off
- Treating prospect theory as proof that every shopper responds identically to a frame
- Claiming that Jedetski et al. observed completed purchases or proved every comparison page improves choices
- Using a single study to claim a cultural difference or a universal website effect
What can you explain now?
A shopper first rejects phones without a large-print accessibility setting, then compares price and battery among those left. Which strategy is this?
Compare with the explanation
Partially compensatory: a non-compensatory screen is followed by trade-offs among the shortlisted phones.
The essential feature is a cut-off; the later comparison permits one attribute to offset another.
After trying it yourself, choose your next review. This is your self-assessment.
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Make it stick
Explain how satisficing differs from utility maximisation, and give one online design feature that can support or distort an attribute comparison.
If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.