Unlock Powerful Problem Solving with the Causal Association Method

This article introduces the author’s self‑developed Causal Association Method—originating from the Issue Map framework—to systematically describe, analyze, and conclude problems, then generate diverse solution ideas illustrated through real design scenarios and practical applications.

网易UEDC
网易UEDC
网易UEDC
Unlock Powerful Problem Solving with the Causal Association Method

Method Origin

The method stems from the Issue Map learned in a service‑design course. Issue Map consists of six steps: description, interpretation, analysis, conclusion, areas of issues, and problem statement. The author’s Causal Association Method is inspired by the analysis step.

Method Meaning

‘Causality’ means analyzing the causes of a phenomenon and the possible results, prioritizing cause analysis before summarizing outcomes. ‘Association’ encourages expansive, divergent thinking to enumerate all possible causes and results, compare alternatives, and select the most reasonable solution for further refinement.

Method Extension

In design, thinking should not be limited to a single cause; it can be expanded to include scenarios, forms, technologies, devices, and methods. Write down every possible cause and every possible result, such as interfaces, layouts, or pathways, without restriction.

Method Decomposition

The method can be flexibly applied: focus only on causes/scenarios/forms, or only on results/solutions/interfaces, depending on the specific problem.

Practical Application: From Problem to Solution Scenarios

Example: displaying data‑center server status across regions. After researching reference designs, the author considered various map‑pin visualizations and explored potential contexts such as logistics warehouses, operations data‑centers, food‑tourism spots, and social connections.

Practical Application: From Problem to Various Solutions

Another case involved visualizing an unlimited number of servers within limited screen space. The author iterated from flat fan‑shaped displays to 3D ring visualizations, ultimately selecting the 3D ring as the optimal solution.

Conclusion

The Causal Association Method is a mindset rather than a strict formula. Applying it in real work helped the author think more effectively and solve problems. Readers are encouraged to try the method, share difficulties, and seek guidance.

Problem Solvingservice designDesign ThinkingCausal Analysisidea generation
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NetEase UEDC aims to become a knowledge sharing platform for design professionals, aggregating experience summaries and methodology research on user experience from numerous NetEase products, such as NetEase Cloud Music, Media, Youdao, Yanxuan, Data帆, Smart Enterprise, Lingxi, Yixin, Email, and Wenman. We adhere to the philosophy of "Passion, Innovation, Being with Users" to drive shared progress in the industry ecosystem.

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