Unit 3: Ideation and Creative Problem Solving - Subjective Questions

Divergent thinking is a creative thought process used to generate many possible ideas, alternatives, or solutions without immediately judging their quality.

Its importance in ideation includes:

• Expands the solution space: It prevents the team from settling on the first obvious solution.
• Encourages originality: Unusual and unconventional ideas are welcomed.
• Promotes quantity: Producing many ideas increases the possibility of discovering a valuable solution.
• Reduces fixation: It helps participants move beyond existing assumptions and familiar patterns.
• Supports inclusion: Different participants can contribute ideas based on their experiences and perspectives.

During divergent thinking, criticism should be postponed. The ideas generated can later be refined and evaluated through convergent thinking.

Divergent and convergent thinking are complementary modes of creative problem solving.

Example: While designing a sustainable water bottle, divergent thinking may generate ideas such as edible bottles, collapsible bottles, refill reminders, and filter-based bottles. Convergent thinking then compares these ideas according to cost, user value, safety, and manufacturability to select the most promising concept.

An effective ideation process repeatedly alternates between expansion through divergence and narrowing through convergence.

The major principles of effective brainstorming are:

• Defer judgment: Participants should not criticize ideas during generation.
• Aim for quantity: A large number of ideas creates more opportunities for innovation.
• Encourage wild ideas: Unusual suggestions can lead to breakthrough concepts.
• Build on others' ideas: Participants may combine, extend, or modify existing suggestions.
• Maintain focus: Ideas should relate to a clearly framed problem statement.
• Ensure equal participation: Every participant should have an opportunity to contribute.

A facilitator can improve the session by:

1. Presenting a clear challenge, such as a How might we...? question.
2. Establishing a time limit and brainstorming rules.
3. Using warm-up exercises to encourage creative thinking.
4. Recording every idea visibly without editing it.
5. Inviting quieter participants to contribute.
6. Preventing dominant members from controlling the discussion.
7. Clustering and reviewing ideas only after generation is complete.

These practices create psychological safety and help the group produce a broad range of ideas.

A structured brainstorming process can be organized into the following stages:

1. Define the challenge: Convert the user problem into a focused, open-ended question. For example, How might we reduce waiting anxiety in hospitals?
2. Share relevant insights: Brief participants about users, context, constraints, and research findings.
3. Set the rules: Defer judgment, encourage quantity, welcome unusual ideas, and build on others' suggestions.
4. Individual idea generation: Allow participants to write ideas independently to reduce conformity and group pressure.
5. Group idea generation: Members share ideas while the facilitator records them visibly.
6. Use creative prompts: Apply analogies, role-playing, SCAMPER, or random words if the group becomes stuck.
7. Clarify ideas: Briefly explain unclear ideas without evaluating them.
8. Cluster related ideas: Group similar suggestions into themes.
9. Shortlist concepts: Use voting or evaluation criteria to identify promising options.
10. Document outcomes: Preserve all ideas, selected themes, and reasons for selection.

Separating idea generation from evaluation is essential because premature criticism can reduce creativity.

SCAMPER is a structured ideation technique that uses seven types of prompts to modify an existing product, service, or process.

• S — Substitute: Replace a material or component. For example, substitute ordinary plastic with recycled stainless steel.
• C — Combine: Merge two functions or features. Combine the bottle with a water filter or storage compartment.
• A — Adapt: Borrow a feature from another product. Adapt a vacuum-flask structure to improve temperature control.
• M — Modify, Magnify, or Minify: Change size, shape, appearance, or performance. Make the bottle collapsible or increase its capacity.
• P — Put to another use: Use the product differently. Design the bottle lid so that it can also serve as a cup.
• E — Eliminate: Remove unnecessary parts or steps. Eliminate difficult-to-clean joints or disposable filters.
• R — Reverse or Rearrange: Change the sequence, orientation, or arrangement. Place the opening at the base for easier cleaning or redesign the grip position.

SCAMPER stimulates systematic creativity by encouraging designers to view an existing solution from several transformation perspectives.

SCAMPER can generate the following improvements for an online learning platform:

• Substitute: Replace long video lectures with short interactive lessons, simulations, or podcasts.
• Combine: Combine live classes, discussion boards, quizzes, and progress tracking in one dashboard.
• Adapt: Adapt achievement systems from games by introducing levels, badges, and learning streaks.
• Modify: Personalize font size, lesson pace, difficulty level, and content format according to learner needs.
• Put to another use: Use recorded classes as revision modules, teacher-training resources, or searchable knowledge libraries.
• Eliminate: Remove unnecessary navigation steps, repeated logins, and distracting interface elements.
• Reverse or rearrange: Apply a flipped-learning model in which students study content first and use class time for practice and discussion.

The ideas should not be accepted automatically. They must be tested for learner value, accessibility, technical feasibility, cost, privacy, and educational effectiveness before implementation.

Mind mapping is a visual technique in which a central problem or theme is placed at the center and related ideas are represented as connected branches and sub-branches.

A typical mind map contains:

• A central topic representing the design challenge.
• Primary branches representing major categories or themes.
• Secondary branches containing details, causes, features, or alternatives.
• Keywords, colors, images, and symbols that make relationships visible.

Mind mapping supports ideation by:

• Encouraging free association and non-linear thinking.
• Revealing relationships among user needs, causes, and solutions.
• Supporting both individual and collaborative idea generation.
• Reducing complex information into a visible structure.
• Identifying gaps, duplicated ideas, and new combinations.
• Organizing ideas into themes for later evaluation.

For example, a mind map for urban mobility may branch into accessibility, safety, cost, sustainability, technology, and public transport, with possible solutions under each branch.

Reverse thinking is an ideation method in which a problem or desired outcome is deliberately reversed. Instead of initially asking how to achieve success, the team asks how to cause failure or make the situation worse.

The steps are:

1. State the original challenge: For example, How can we improve customer service?
2. Reverse the challenge: Ask, How can we create the worst possible customer service?
3. Generate negative ideas: Examples include long waiting times, unclear information, rude communication, and repeated form filling.
4. Reverse each negative idea: Provide quick responses, clear guidance, respectful communication, and a single unified form.
5. Develop practical concepts: Convert the reversed ideas into specific service features or processes.
6. Evaluate and test: Examine the concepts for desirability, feasibility, and viability.

Reverse thinking is useful because it exposes hidden assumptions, identifies causes of failure, adds humor to ideation, and helps participants escape routine patterns of thought.

The three methods support creative ideation in different ways:

When to use them:

• Use brainstorming when a team needs many alternatives quickly.
• Use mind mapping when the problem contains interconnected categories or when ideas need visual organization.
• Use reverse thinking when participants are stuck or repeatedly produce predictable solutions.

The methods can be combined. A team may first use reverse thinking to create provocative prompts, brainstorm responses, and finally organize the generated ideas through a mind map.

Idea generation and idea evaluation require different modes of thinking.

During idea generation, the purpose is to maximize quantity, variety, and originality. Immediate criticism may:

• Create fear of failure or embarrassment.
• Reduce participation and psychological safety.
• Cause the group to select familiar ideas too early.
• Prevent incomplete ideas from being developed by others.
• Encourage conformity to the opinions of senior or dominant members.

During idea evaluation, the purpose is to examine ideas using evidence and agreed criteria such as user value, cost, technical feasibility, sustainability, strategic fit, and risk.

Therefore, a good process uses a clear transition:

1. Generate ideas without judgment.
2. Clarify and cluster the ideas.
3. Establish evaluation criteria.
4. Compare and prioritize the alternatives.

Separating the two stages protects creativity while ensuring that final decisions remain rational, relevant, and practical.

Idea organisation and clustering convert a large, unstructured idea pool into meaningful groups.

The process includes:

1. Display all ideas: Place ideas on cards, sticky notes, or a digital board so that they are visible.
2. Clarify meaning: Allow authors to explain ambiguous ideas without defending or evaluating them.
3. Remove exact duplicates: Combine identical ideas while retaining useful variations.
4. Group by similarity: Move ideas that address related needs, functions, users, or technologies into clusters.
5. Create cluster labels: Give each group a descriptive name based on its shared theme.
6. Identify relationships: Note ideas that connect multiple clusters or can be combined into broader concepts.
7. Detect gaps: Examine whether important user needs or problem areas have no corresponding ideas.
8. Prepare for evaluation: Convert important clusters into concept statements that can be compared using common criteria.

Clustering reduces cognitive overload, reveals recurring patterns, prevents promising ideas from being overlooked, and supports systematic evaluation.

An affinity diagram is a visual method for grouping a large number of observations or ideas according to their natural relationships.

Procedure:

1. Write one idea or observation on each card or sticky note.
2. Display all notes without using predetermined categories.
3. Silently move related notes together.
4. Discuss disagreements and refine the groups.
5. Give each group a heading that expresses its common meaning.
6. If necessary, combine related groups under higher-level themes.
7. Review outliers because they may represent unique opportunities rather than irrelevant ideas.

Benefits:

• Converts scattered ideas into understandable themes.
• Reduces personal bias because categories emerge from the data.
• Builds shared understanding among team members.
• Identifies repeated needs, patterns, and opportunity areas.
• Provides a structured input for concept development and screening.

For example, ideas about live chat, simplified instructions, status notifications, and help videos may be grouped under a broader theme such as user support and communication.

Feasibility analysis determines whether an idea can be realistically developed and implemented within available capabilities and constraints.

Major dimensions include:

• Technical feasibility: Availability of technology, infrastructure, materials, skills, and integration capability.
• Economic feasibility: Expected development cost, operating cost, funding requirements, and potential financial return.
• Operational feasibility: Ability of users and the organization to adopt, operate, and maintain the solution.
• Schedule feasibility: Possibility of completing the solution within the required time.
• Legal and regulatory feasibility: Compliance with laws, standards, intellectual property rights, safety rules, and privacy requirements.
• Resource feasibility: Availability of people, equipment, suppliers, data, and facilities.
• Environmental feasibility: Energy use, waste, emissions, material impact, and lifecycle sustainability.

An idea may be desirable to users but still fail if it depends on unavailable technology, excessive cost, or unacceptable legal and environmental risks.

Relevance analysis examines whether an idea meaningfully addresses the identified problem, user needs, and project objectives.

It asks questions such as:

• Does the idea solve an important user problem?
• Is it consistent with research insights and the design brief?
• Does it benefit the intended target group?
• Does it fit organizational goals and brand values?
• Is it appropriate to the social, cultural, and environmental context?
• Does it create a meaningful improvement over current alternatives?

Difference from feasibility analysis:

• Relevance concerns whether the team is pursuing the right idea.
• Feasibility concerns whether the team can realistically implement the idea.

For example, a highly advanced reminder device may be technically feasible but irrelevant if users primarily need a simpler and cheaper service. Conversely, a highly relevant idea may require technical development before it becomes feasible. Strong concepts should demonstrate both relevance and feasibility.

Desirability, feasibility, and viability are three major perspectives used to assess design concepts.

• Desirability: Determines whether users need, value, understand, and are willing to adopt the solution. It is examined through interviews, observations, prototypes, and user testing.
• Feasibility: Determines whether the solution can be developed using available technology, skills, resources, time, and infrastructure.
• Viability: Determines whether the solution can be sustained economically and organizationally. It includes revenue, cost, partnerships, operations, and strategic alignment.

A concept may fail if one dimension is ignored. For example:

• Desirable but not feasible: Users want a feature that current technology cannot reliably deliver.
• Feasible but not desirable: The organization can build the solution, but users do not value it.
• Desirable and feasible but not viable: Users like the solution and it can be built, but its operating cost is unsustainable.

The strongest innovation lies near the intersection of all three dimensions.

An idea screening matrix is a decision-support tool that compares alternative ideas against a consistent set of evaluation criteria.

Construction and use:

1. List the ideas as rows and evaluation criteria as columns.
2. Select criteria such as user value, technical feasibility, cost, risk, sustainability, originality, and strategic fit.
3. Assign a weight to each criterion according to its importance.
4. Rate each idea on every criterion using a consistent scale, such as 1 to 5.
5. Calculate the weighted score of idea as:

where is the rating of idea on criterion .

6. Rank ideas by total score.
7. Conduct sensitivity checks and discuss qualitative factors before making the final decision.

The matrix improves transparency and consistency. However, it should support rather than replace judgment because scores may be influenced by uncertain data, biased ratings, or inappropriate weights.

The weighted score is calculated using:

The weights are:

• User value:
• Feasibility:
• Cost efficiency:

Idea A:

Idea B:

Idea C:

Ranking:

1. Idea A:
2. Idea C:
3. Idea B:

Therefore, Idea A should be provisionally selected. Since the scores are close, the team should also test the ideas, examine rating uncertainty, and check whether changing the criterion weights alters the ranking.

Common methods of idea selection and prioritisation include:

• Dot voting: Participants allocate dots or votes to preferred ideas. It is quick but can be affected by popularity and group influence.
• Impact-effort matrix: Ideas are classified as quick wins, major projects, fill-ins, or low-value tasks based on expected impact and effort.
• Weighted screening matrix: Ideas are rated against weighted criteria to produce comparative scores.
• Pairwise comparison: Each idea is compared directly with every other idea to determine relative preference.
• Ranking: Team members place ideas in order according to agreed criteria.
• MoSCoW prioritisation: Features are categorized as Must have, Should have, Could have, and Won't have for now.
• Feasibility-desirability-viability assessment: Concepts are assessed from user, technical, and business perspectives.
• Prototype testing: Competing concepts are converted into simple prototypes and evaluated using user feedback.

A robust process often combines methods. For example, dot voting may create an initial shortlist, a weighted matrix may compare the shortlisted ideas, and prototype testing may provide evidence for the final decision.

An impact-effort matrix is a two-dimensional prioritisation tool. Ideas are positioned according to their expected impact and the effort required for implementation.

The four quadrants are:

• High impact, low effort — Quick wins: These ideas generally receive immediate priority.
• High impact, high effort — Major projects: These are strategically valuable but require planning, resources, and risk management.
• Low impact, low effort — Fill-ins: These may be completed when time and resources are available.
• Low impact, high effort — Avoid or reconsider: These ideas usually provide insufficient value for the required investment.

Process:

1. Define what impact and effort mean for the project.
2. Estimate the impact of each idea on users and objectives.
3. Estimate cost, time, complexity, and resource requirements.
4. Position each idea on the matrix.
5. Discuss dependencies, uncertainty, and strategic importance.
6. Select a balanced portfolio of quick wins and important long-term projects.

The matrix is simple and visual, but estimates should be supported by evidence because an apparently easy idea may contain hidden implementation costs.

A complete workflow may include the following stages:

1. Frame the challenge

Use user research to formulate a question such as: How might we make short urban journeys affordable, safe, and convenient for diverse users?

2. Generate ideas divergently

• Conduct individual brainwriting followed by group brainstorming.
• Use SCAMPER to modify existing bicycle-sharing models.
• Apply reverse thinking to identify causes of service failure.
• Create mind maps around access, payment, safety, maintenance, and sustainability.

3. Organise ideas

• Place each idea on a separate note.
• Remove exact duplicates.
• Use affinity clustering to form themes such as station design, pricing, bicycle features, digital services, and inclusion.
• Combine related ideas into complete concept statements.

4. Conduct initial screening

Remove ideas that violate essential safety, legal, ethical, or environmental requirements. Retain unconventional ideas if their uncertainty can be tested.

5. Evaluate concepts

Assess each concept using:

• User desirability and accessibility.
• Technical and operational feasibility.
• Economic viability.
• Environmental impact.
• Security and privacy risks.
• Strategic relevance.

A weighted matrix may calculate scores using:

6. Prioritise

Use an impact-effort matrix and select a portfolio containing quick wins and longer-term opportunities.

7. Prototype and test

Prototype bicycles, docking systems, pricing plans, and mobile-app journeys. Test them with commuters, tourists, students, older adults, and users with accessibility needs.

8. Make the final selection

Combine matrix scores with testing evidence, risk analysis, and stakeholder feedback. Document the selected concept, rejected alternatives, assumptions, and next steps.

This workflow balances creative exploration with transparent, evidence-based decision-making.