Empathy & human-centred research
User goals, contexts, emotions, behaviours, observation, interviews, listening, empathy maps, extreme users, assumptions, and research ethics.
Design thinking skill assessment
Assess empathy, research, observation, problem framing, point-of-view statements, ideation, concept selection, prototyping, user testing, iteration, storytelling, collaboration, and practical innovation judgement.
Compare empathy, evidence use, framing, idea range, prioritisation, experimentation, iteration, collaboration, and storytelling.
Skill signals
Measure how candidates understand people, frame meaningful problems, generate alternatives, test assumptions quickly, and turn evidence into better solutions.
User goals, contexts, emotions, behaviours, observation, interviews, listening, empathy maps, extreme users, assumptions, and research ethics.
Research notes, patterns, contradictions, affinity mapping, themes, needs, tensions, evidence quality, bias awareness, and translating observations into insights.
User, need and insight statements, problem boundaries, root causes, reframing, how-might-we questions, opportunity areas, and avoiding solution-first thinking.
Brainstorming, brainwriting, analogies, SCAMPER-style prompts, quantity before judgement, inclusive participation, idea expansion, and creative alternatives.
Desirability, feasibility, viability, impact, effort, risk, assumptions, decision criteria, voting methods, concept combinations, and transparent prioritisation.
Low-cost prototypes, storyboards, paper models, role play, service simulations, experiment questions, critical assumptions, fidelity, speed, and learning goals.
Test tasks, facilitation, observation, behavioural evidence, feedback synthesis, failure signals, learning capture, iteration priorities, and avoiding confirmation bias.
Narrative structure, user evidence, concept communication, workshop facilitation, multidisciplinary collaboration, trade-offs, implementation handoff, and practical judgement.
Assessment flow
Run a consistent assessment with realistic human-centred innovation scenarios, structured scoring, and decision-ready reports.
Choose industry, audience, ambiguity level, role seniority, collaboration expectations, time limit, and scenario difficulty.
Candidates interpret research, frame problems, generate ideas, choose concepts, design prototypes, analyse feedback, and plan iterations.
Score empathy, evidence use, framing quality, ideation range, prioritisation, experimentation, iteration, collaboration, and practical judgement.
Compare competency breakdowns, scenario decisions, innovation reasoning, response quality, and evidence-based recommendations.
Use cases
Use realistic innovation scenarios across design, product, UX, service, strategy, and capability-development programmes.
Evaluate empathy, research synthesis, problem framing, ideation, prioritisation, prototyping, testing, iteration, and storytelling.
Assess candidates who solve ambiguous customer problems, align teams, test assumptions, and move ideas toward validated solutions.
Identify gaps in evidence use, framing, creative range, experimentation, facilitation, collaboration, and learning-driven iteration.
Build stronger innovation teams
Use realistic design-thinking scenarios, automated evaluation, and explainable score reports to improve design, product, service, innovation, and customer-experience hiring.