Design Thinking and Human-Centred Innovation

Introduction

Advertising and media problems are rarely fully specified. A brief may ask an agency to increase engagement, change a public behaviour, launch a brand, or rebuild trust, yet the brief often describes an organisational ambition rather than a human problem. Audiences are not passive recipients of messages: they interpret, ignore, adapt, resist and sometimes reinterpret communication in ways that organisations cannot predict. Design thinking offers a disciplined way to investigate these uncertainties and develop responses with, rather than merely for, the people affected.

Design thinking is an approach to problem solving that combines human insight, creative generation, material experimentation and evidence-based learning. In advertising and media, it can inform campaign strategy, content systems, brand experiences, platform design, public communication and service innovation. It does not replace strategic planning, cultural analysis, media research or creative excellence. Instead, it connects them through an iterative process.

The central premise is that innovation becomes more useful when designers understand people’s lived contexts, frame problems carefully, generate alternatives, make ideas tangible early and learn from real-world responses. The method is especially valuable when the challenge is ambiguous, stakeholders disagree, and conventional research produces information without revealing an actionable opportunity.

Learning objectives

By the end of this chapter, students should be able to:

• explain the principles and limits of human-centred design thinking;
• distinguish divergent from convergent thinking;
• plan ethical ethnographic inquiry for communication challenges;
• construct and critically interpret personas and empathy maps;
• frame an ambiguous brief as an actionable design opportunity;
• apply empathise–define–ideate–prototype–test cycles;
• use service blueprints and co-creation to analyse communication ecosystems;
• evaluate concepts using evidence, feasibility, desirability and viability;
• identify ethical, cultural and governance risks in audience-centred innovation.

1. From communication brief to human problem

A conventional advertising brief often begins with a desired organisational outcome: improve awareness, grow market share, increase donations or drive app downloads. A human-centred approach asks what people are trying to accomplish, what prevents them from doing it, and how the wider system shapes their behaviour.

This shift can be expressed as follows:

The reformulation does not discard organisational objectives. It links those objectives to user needs and system conditions. A useful design challenge is open enough to permit alternative solutions but bounded enough to guide research. “How might we…” questions are useful because they avoid prematurely prescribing a medium or execution.

A poorly framed problem can produce an excellent solution to the wrong issue. For example, a low response rate to a public-health message may be attributed to weak creative design. Ethnographic inquiry may reveal that the real barrier is distrust of the institution, lack of privacy, inconvenient service hours or fear of social judgement. The communication output is then only one element of a broader service experience.

2. The design-thinking model

Several models exist. The widely used five-stage sequence—empathise, define, ideate, prototype and test—is best understood as a learning system rather than a rigid linear procedure. Teams may return to earlier stages when evidence challenges their assumptions.

Figure: The five activities of design thinking form an iterative learning cycle rather than a one-way production line.

Empathise

Empathy in design is not simply feeling sympathy. It is the systematic attempt to understand people’s goals, practices, language, emotions, constraints and relationships. Designers should seek both what people say and what they do. Stated preferences can differ from observed behaviour because of memory limitations, social desirability and the difference between hypothetical and real choices.

Useful methods include semi-structured interviews, contextual observation, diary studies, intercept conversations, social listening, cultural probes, usability sessions and analysis of existing service data. Method choice should follow the question. Interviews can reveal meanings and motivations; observation can reveal routines and workarounds; analytics can reveal patterns at scale but rarely explains why they occur.

Ethnographic inquiry is particularly valuable in advertising and media because media use is embedded in everyday life. A researcher might observe how a family shares one device, how commuters consume short-form video, or how a community verifies information through trusted intermediaries. Ethical fieldwork requires informed consent where appropriate, protection of identity, sensitivity to vulnerability and clarity about how recordings and quotations will be used.

Research should include extreme or edge users when relevant, such as people with disabilities, low connectivity, limited literacy, language minorities or unusually high expertise. These participants may expose system assumptions that average users do not notice.

Empathy maps

An empathy map organises evidence around what a person says, does, thinks and feels. It is a synthesis device, not a substitute for research. Each entry should be traceable to an observation, quotation or reliable data source. Teams should distinguish evidence from interpretation. “Says: I do not trust sponsored content” is evidence; “Feels manipulated” is a hypothesis that may require further inquiry.

A fuller empathy map may also include pains, gains, influences and context. The map should not portray one person as universally representative. It captures a pattern or a specific research participant and must be revised when contradictory evidence appears.

Personas

A persona is a research-based composite representing a meaningful pattern of behaviour, motivation and context. It is not a fictional demographic stereotype. Strong personas include a situation, goals, behaviours, barriers, media practices, accessibility needs and evidence notes. They may also include a quotation, but quotations must not be invented and presented as verbatim research.

Personas are useful for maintaining audience perspective during creative decisions. Their danger lies in false precision: a name, photograph and age can create an illusion of knowledge. Teams should label assumptions and avoid reducing people to demographic categories. A persona should answer, “What design implications follow from this pattern?” rather than merely describe a target segment.

3. Define: framing ambiguity into an opportunity

Definition is the analytical stage in which research findings become a focused problem statement. Teams cluster observations, identify tensions, compare perspectives and distinguish symptoms from causes. Affinity mapping, journey mapping, “five whys” questioning and stakeholder mapping can support synthesis, but none removes the need for judgement.

A strong problem statement typically identifies:

1. a relevant group or situation;
2. a significant unmet need or tension;
3. the context in which it occurs;
4. the evidence supporting the interpretation;
5. the design opportunity without prescribing a solution.

For example: “First-generation university applicants need a credible way to interpret financial-aid information when they are making decisions at home, because official language and fear of making a costly mistake discourage them from seeking help.” This is more useful than “Students need a better financial-aid campaign.”

Framing is also political. It determines whose experience counts, which causes become visible and which solutions appear legitimate. Teams should ask: Who benefits from this framing? Who is absent? Are we treating an institutional inconvenience as a user deficit? Could the problem be solved by changing policy or service operations rather than by persuading people more effectively?

Divergent and convergent thinking

Divergent thinking expands the field of possibilities. It values quantity, variety and unexpected connections. During early ideation, criticism is postponed, ideas are built upon, and teams deliberately seek multiple media, behavioural and service responses.

Convergent thinking narrows possibilities through criteria, evidence and judgement. It asks which ideas are desirable to users, feasible for the organisation, viable over time, accessible, ethical and appropriate to the cultural context. Alternating between divergence and convergence prevents two common failures: premature closure and endless ideation.

A decision matrix may help structure discussion, but numerical scores are not objective truth. If a team rates desirability, feasibility and viability from 1 to 5, the scores are ordinal judgements, not precise measurements. The matrix should reveal assumptions and disagreements rather than conceal them behind a total.

4. Ideate: developing alternatives

Ideation is more than brainstorming slogans. It can generate communication concepts, service changes, content formats, partnerships, policies, interface features and community-led interventions. Begin with “How might we…” prompts derived from the defined problem. For example:

• How might we help applicants compare financial-aid options without requiring specialist vocabulary?
• How might we make trusted peer guidance visible at the moment of decision?
• How might we allow people to ask sensitive questions privately?

Useful techniques include brainwriting, “yes, and,” worst-possible-idea reversal, analogous inspiration, role-storming, SCAMPER and rapid sketching. In multidisciplinary teams, equal participation matters. Seniority can suppress alternatives, while a dominant creative voice can make ideation appear productive without being inclusive.

Ideas should be described as propositions: target situation, human value, experience, channel or touchpoint, organisational requirement and possible risk. “Use TikTok” is a channel choice, not an idea. “Provide short, captioned peer explanations linked to a private eligibility checker” is more testable.

5. Prototype: thinking through making

A prototype is a deliberately incomplete representation used to learn. It may be a storyboard, paper interface, landing page, sample social post, service role-play, clickable wireframe, audio script, media journey or concierge service. Fidelity should match the learning objective. A paper prototype may be sufficient to test information hierarchy; a live pilot may be required to test trust, timing or operational feasibility.

Prototypes should make assumptions visible. Teams can list assumptions about audience motivation, comprehension, channel access, institutional capacity and likely unintended effects. The riskiest assumptions should be tested first. A prototype is not a miniature final campaign and should not consume production resources before the concept has earned them.

For advertising students, prototyping may include alternative storyboards, rough edits, voice and tone variations, landing-page flows, influencer briefing scripts, community moderation scenarios and service blueprints. A prototype can test not only whether a message is attractive but whether it works within a larger experience.

6. Test: learning from people and systems

Testing is a research activity, not a ceremonial approval step. Recruit participants who resemble the relevant audience and include those likely to be excluded. Explain what is being tested, obtain consent and avoid implying that participants are being judged. Ask participants to perform realistic tasks where possible, and observe confusion, hesitation, workarounds and emotional responses.

Good questions are neutral and specific: “What do you think this is asking you to do?” or “What would you do next?” Weak questions seek praise: “Do you like this campaign?” A positive reaction does not demonstrate comprehension, behaviour change or trust.

Evidence may lead to three outcomes: retain the concept, revise it, or abandon it. Teams should document the decision and the reason. Testing can also expose a need to return to empathy or redefine the problem. In digital contexts, quantitative indicators such as completion rate, drop-off and repeat use can complement qualitative insight, but metrics require interpretation. A high click-through rate may represent curiosity rather than informed action; a low rate may reflect an inaccessible landing page rather than weak creative.

7. Service blueprints and communication ecosystems

Many communication experiences involve frontstage and backstage activity. A service blueprint maps the user journey alongside visible interactions, employee or partner actions, support processes and evidence such as screens, signage, emails or receipts. It is particularly useful when an advertising promise depends on operational delivery.

A blueprint commonly contains:

• customer actions;
• frontstage contact points;
• backstage actions invisible to the customer;
• supporting systems and partners;
• physical or digital evidence;
• lines of interaction, visibility and internal responsibility.

Consider a campaign promising “instant expert help.” The frontstage may include a social advertisement, chatbot and booking page. Backstage processes include advisor scheduling, escalation rules, data protection and quality assurance. If the service cannot respond quickly, the campaign creates distrust. The blueprint therefore connects art direction and messaging to the actual service system.

Journey maps show a person’s experience across time, often including emotional highs and lows. Service blueprints add organisational responsibility and operational dependencies. Both should identify moments of truth, friction, exclusion and opportunity.

8. Co-creation and participatory practice

Co-creation involves stakeholders and affected communities in shaping the problem, criteria or solution. It may take the form of workshops, collaborative mapping, community panels, design games, creator partnerships or participatory prototyping. It is not token consultation. Participants need a meaningful opportunity to influence decisions, and teams should communicate what changed as a result.

Co-creation requires careful power management. Agency staff, clients, community representatives and platform partners may have unequal authority, resources and confidence. Facilitation should use accessible language, multiple ways of contributing and compensation where participants provide substantial expertise or labour. Cultural knowledge should not be extracted without recognition or benefit-sharing.

Co-creation does not mean that every participant gets every preference. Professional designers still synthesise, prioritise and take responsibility. The ethical requirement is transparency about influence, constraints and decisions.

9. An integrated applied process

A practical project can be organised into six loops:

This structure is not a substitute for project management. It establishes learning gates while allowing iteration. A senior team should agree at the beginning how decisions will be made, who owns ethical review, what evidence is sufficient, and which constraints are non-negotiable.

10. Illustrative case: improving access to a public-service campaign

Background

The following is a fictional illustrative case. A city health department wants to increase uptake of free sexual-health screening among adults aged 18–29. Previous campaigns used fear-based posters and generic social-media videos. Awareness was moderate, but appointment completion was low.

Problem

The initial client brief asks for a “more engaging campaign.” The design team begins with empathy research rather than immediately producing executions. Interviews, diary entries and observations at clinics reveal that participants are not primarily unaware of screening. Many worry about confidentiality, cannot attend during working hours, or do not know what will happen at the appointment. Some trust peer recommendations more than institutional messages.

Analysis

The team creates two provisional personas. “Riya,” a university student, seeks information through private group chats and fears being recognised at the clinic. “Marcus,” a shift worker, is willing to attend but cannot predict his schedule and finds the booking system difficult on a mobile phone. The team maps the journey from exposure to the message through booking, arrival, screening and follow-up.

The service blueprint shows that the campaign promises privacy, but reception staff call names aloud in a crowded waiting area. The communication problem is therefore connected to a service-design problem. A more persuasive advertisement alone may increase anxiety by driving people into an uncomfortable experience.

Approach and solution

The team reframes the opportunity: “How might we make confidential screening feel understandable, private and compatible with unpredictable schedules?” Through co-creation with clinic staff and young adults, three concepts are developed:

1. short peer-led videos explaining exactly what happens, with captions and translations;
2. a mobile booking flow offering discreet appointment labels and flexible cancellation;
3. a service change in which patients receive a text code and are called by the code rather than their name.

Prototypes include storyboarded videos, a paper booking flow and a role-play of reception. Testing identifies that the phrase “discreet appointment” is understood more clearly than “anonymous screening,” which could create a misleading expectation. The team revises the language to explain what is confidential and what information is legally required.

Outcome

In a limited pilot, the department observes improved completion of the booking journey and fewer questions about what happens at the clinic. The pilot does not establish long-term population-level impact, and the team avoids claiming that the campaign alone caused the improvement. Qualitative feedback indicates increased clarity and reduced anxiety. Operational changes are retained alongside the communication materials.

Learning points

• The stated brief concealed a trust and service-friction problem.
• Personas and journey mapping focused creative decisions on context rather than demographics alone.
• Prototyping exposed misleading language before public release.
• Co-creation improved both communication and operational design.
• Evaluation must distinguish campaign effects from service changes and wider social factors.

11. Critical limitations and professional judgement

Design thinking is often criticised for becoming a universal management slogan. A workshop cannot resolve structural inequality, inadequate funding or harmful institutional policy. Human-centred methods can also reproduce bias when teams recruit convenient participants, interpret communities through privileged assumptions or treat individual adaptation as the solution to systemic barriers.

The language of empathy may encourage designers to believe they understand another person’s experience after a brief interview. Reflexivity is essential: researchers should record their own positionality, assumptions and relationship to participants. Triangulation—comparing interviews, observation, behavioural evidence and stakeholder perspectives—improves credibility but does not produce certainty.

There is also a tension between participation and speed. Rapid innovation cycles can pressure communities to provide unpaid insight. Ethical practice may require slower engagement, translation, accessibility support and returning findings to participants. In high-stakes contexts, such as health, finance or civic information, experimentation must be proportionate to potential harm.

12. Ethics, data and AI

Human-centred innovation involves personal and sometimes sensitive data. Teams should collect only what is necessary, explain purpose and retention, protect access, remove identifying details where possible and comply with applicable privacy and advertising regulations. Consent should be informed and revocable where feasible. Special care is required for minors, health information, biometric data, inferred traits and location data.

Advertising teams should assess whether targeting practices exploit vulnerability, intensify discrimination or obscure commercial intent. Accessibility must be designed from the beginning through captions, readable contrast, alternative text, plain language, keyboard access and culturally appropriate formats.

AI tools can assist with transcription, clustering, translation, scenario generation and rapid prototyping. They can also hallucinate quotations, reproduce stereotypes, expose confidential research and generate persuasive content without meaningful consent. Human review, provenance records, secure data handling and disclosure policies are necessary. Synthetic personas should never be treated as evidence of real human behaviour. AI can accelerate synthesis, but it cannot assume ethical accountability or replace direct engagement with affected communities.

13. Best-practice principles

1. Start with a human and system problem, not a preferred channel.
2. Make assumptions explicit and test the riskiest ones early.
3. Combine qualitative depth with appropriate behavioural or operational evidence.
4. Treat personas and empathy maps as revisable models, not facts.
5. Alternate divergence with disciplined convergence.
6. Prototype the experience, not only the advertisement.
7. Include accessibility, cultural context and power analysis in the brief.
8. Involve operational stakeholders before promising an experience publicly.
9. Record evidence, uncertainty and decisions throughout the process.
10. Evaluate outcomes ethically, distinguishing correlation from causation.

Chapter Summary

Design thinking provides an iterative framework for addressing ambiguous communication and innovation challenges. Its five activities—empathise, define, ideate, prototype and test—are best understood as connected modes of inquiry rather than a fixed linear sequence. Ethnographic methods reveal lived context; empathy maps and personas synthesise patterns; problem framing converts observations into actionable opportunities; divergent thinking expands possibilities; convergent thinking applies evidence and criteria; prototypes make assumptions testable; and testing supports learning before costly implementation.

Service blueprints and journey maps extend the analysis beyond messages to the systems that deliver promised experiences. Co-creation distributes expertise and can improve relevance, but it requires attention to power, compensation and genuine influence. Human-centred practice is not automatically ethical: privacy, accessibility, cultural representation, algorithmic bias and structural inequality require active governance. For advertising and media professionals, the principal value of design thinking lies in connecting creative practice with human evidence, organisational capability and responsible innovation.

Key Terms

Design thinking: An iterative approach combining human insight, creative generation, experimentation and learning.

Human-centred design: Designing with sustained attention to people’s needs, contexts, capabilities and rights.

Empathy: Evidence-informed understanding of another person’s experience, motivations and constraints.

Ethnographic inquiry: Contextual research examining behaviour, meaning and practice in everyday settings.

Empathy map: A synthesis tool organising what people say, do, think and feel.

Persona: A research-based composite representing a meaningful behavioural pattern.

Problem framing: Defining an actionable opportunity without prematurely prescribing a solution.

“How might we” question: An open design prompt that invites alternative responses.

Divergent thinking: Expanding the range and variety of possible ideas.

Convergent thinking: Narrowing alternatives through evidence, criteria and judgement.

Prototype: An incomplete representation created to learn about an idea.

Usability testing: Observing people attempting realistic tasks with a proposed experience.

Journey map: A representation of a person’s experience across stages and touchpoints.

Service blueprint: A map linking user actions, frontstage interactions, backstage processes and support systems.

Co-creation: Collaborative development with stakeholders and affected communities.

Touchpoint: A point of interaction between a person and a brand, service or institution.

Assumption: An unverified belief about people, context, capability or outcomes.

Human insight: An evidence-based interpretation of behaviour, motivation or tension.

Review Questions

Short Answer Questions

1. What distinguishes a human-centred problem statement from a conventional advertising brief?
2. Why should empathy maps distinguish evidence from interpretation?
3. Explain the difference between divergent and convergent thinking.
4. What is the purpose of a prototype in design thinking?
5. Name two ethical issues that may arise in ethnographic inquiry.

Long Answer Questions

1. Explain the empathise–define–ideate–prototype–test cycle and discuss why it should not be treated as strictly linear.
2. Compare personas, journey maps and service blueprints. What distinct decisions does each support?
3. Discuss how co-creation can improve communication design and analyse its risks in unequal power relationships.
4. Explain how a communication campaign can fail because of backstage service processes. Use an example.
5. Critically evaluate the claim that design thinking is a solution to organisational innovation problems.

Analytical / Application Questions

1. A university observes low engagement with its mental-health campaign. Develop an ethical research plan, a provisional problem frame and two “How might we” questions.
2. Select a public-service or brand experience and map one user journey. Identify at least three touchpoints, two backstage dependencies and one exclusion risk.
3. A client wants to launch an AI-generated campaign using personal audience data. Apply human-centred design, privacy and governance principles to recommend whether and how the project should proceed.

Multiple Choice Questions with Answers

Question 1

Which activity primarily focuses on understanding people’s lived contexts, motivations and constraints?

A. Empathise

B. Define

C. Prototype

D. Converge

Correct Answer: A. Empathise

Question 2

Which statement best describes a research-based persona?

A. A fictional celebrity selected to endorse a brand

B. A demographic list created from media-rate data

C. A composite representing a meaningful pattern of behaviour and motivation

D. A final customer profile that cannot be revised

Correct Answer: C. A composite representing a meaningful pattern of behaviour and motivation

Question 3

What is the principal purpose of divergent thinking during ideation?

A. To select one executable idea immediately

B. To expand the range and variety of possible responses

C. To prove that the client’s original brief is correct

D. To eliminate all operational constraints

Correct Answer: B. To expand the range and variety of possible responses

Question 4

Which item is most characteristic of a service blueprint?

A. Only the visual style of an advertisement

B. A list of competitors’ media spending

C. A demographic segmentation table

D. Connections between user actions, frontstage interactions and backstage processes

Correct Answer: D. Connections between user actions, frontstage interactions and backstage processes

Question 5

A prototype is best understood as:

A. A deliberately incomplete representation used to learn

B. A fully finished campaign ready for national release

C. A legal document defining brand ownership

D. A substitute for all audience research

Correct Answer: A. A deliberately incomplete representation used to learn

Question 6

Why can a high click-through rate be insufficient evidence that a campaign succeeded?

A. Click-through rates can never be measured digitally

B. Clicks may indicate curiosity without comprehension or meaningful action

C. High click-through rates always prove deception

D. Click-through rates measure only production quality

Correct Answer: B. Clicks may indicate curiosity without comprehension or meaningful action

Question 7

Which question best reflects responsible problem framing?

A. Which platform should we buy before researching the audience?

B. How can we make the existing execution look more fashionable?

C. Who is absent from our framing, and are we treating a system problem as a user deficit?

D. How can we avoid involving operational stakeholders?

Correct Answer: C. Who is absent from our framing, and are we treating a system problem as a user deficit?

Question 8

In the illustrative public-health case, what issue was discovered beyond the original communication problem?

A. The audience had no access to social media

B. The service experience created privacy and scheduling friction

C. The campaign used too many languages

D. The clinic had no screening capacity at all

Correct Answer: B. The service experience created privacy and scheduling friction

Question 9

Which practice is most appropriate when using AI to analyse sensitive research material?

A. Upload all raw data to any free tool for speed

B. Treat synthetic personas as evidence of real behaviour

C. Use secure handling, human review and clear provenance procedures

D. Remove participant consent because the output is automated

Correct Answer: C. Use secure handling, human review and clear provenance procedures

Question 10

What is a central ethical requirement of meaningful co-creation?

A. Participants must accept every final design decision

B. Participants should have a genuine opportunity to influence decisions

C. Only senior organisational staff should define the problem

D. Participants should provide expertise without recognition or compensation

Correct Answer: B. Participants should have a genuine opportunity to influence decisions