design-thinking

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SKILL.md

Design Thinking

Coverage

Design thinking is the meta-skill that orchestrates a full human-centered design arc and routes specific work to the appropriate stage-specific sibling skill. Multiple canonical framings exist and largely agree on the shape. The Stanford d.school describes five stages: Empathize → Define → Ideate → Prototype → Test. The MIT Sloan framing renders it as Understand → Involve → Ideate → Prototype-test → Implement. The UK Design Council's Double Diamond maps the same arc onto two diamonds: Discover → Define (the problem-space diamond, diverge then converge on the right problem) and Develop → Deliver (the solution-space diamond, diverge then converge on the right solution). Tim Brown's HBR essay (2008) and the IDEO Field Guide describe the same arc under different stage labels.

Across framings the meta-skill covers (a) stage recognition — knowing which stage a team is currently in based on what artifacts exist and what question is open; (b) stage routing — handing the work to the right sibling skill (problem-framing for definition work, user-research for empathy/discovery, research-synthesis for sense-making, journey-mapping for cross-touchpoint experience, ideation for divergent/convergent concept generation, prototyping for learning artifacts, usability-testing for evaluation); (c) transition criteria — knowing what evidence justifies moving from one stage to the next; and (d) loop-back conditions — knowing when findings in a later stage invalidate work in an earlier one and the team should return rather than press forward.

The skill includes the non-linearity principle: although the stages are described in order, real projects loop. A prototype test (Test stage) commonly produces evidence that the team's problem framing (Define stage) was wrong, and the right response is to loop back to Define rather than ship the prototype as-is. Recognizing this is part of the meta-skill — a team that refuses to loop is performing the ritual of design thinking without practicing it. Conversely, looping endlessly without committing is its own failure mode, and the meta-skill includes naming when "we have enough" to proceed.

The skill also covers format choices for orchestration — multi-week project arcs versus compressed Design Sprints (Jake Knapp, Google Ventures) which run a full Define-through-Test cycle in five days. The format trades depth for speed; both have valid uses.

Philosophy

Design thinking exists because complex human problems do not yield to either pure analysis or pure intuition, and the discipline insists that iterating between empathy with users and concrete artifacts is more productive than either alone. The arc is not a procedure to be executed once; it is a structured way to make uncertainty visible. Each stage produces a specific kind of evidence (qualitative observations, framed problems, concept variants, learning artifacts, behavioral findings), and the discipline rewards teams that can name what kind of evidence they have versus what kind they still need.

The meta-skill is sceptical of two opposite failure modes. The first is stage skipping — leaping from a vague brief directly to prototyping because building feels like progress, with no framing and no research; the resulting prototype answers a question nobody asked. The second is stage stalling — researching indefinitely, framing endlessly, ideating without ever building, because each new round of empathy raises new questions and the team mistakes activity for progress. Both failures stem from the same root: not knowing which stage's question is currently open. The meta-skill names the open question explicitly and chooses the next stage to address it.

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