How Scenario‑Based Design Boosts User Decision Efficiency in Local Services

Project Background

Local‑service platforms face intense competition, a fragmented category structure (19 primary and 212 secondary categories), and inconsistent list‑page designs, leading to low user satisfaction. User research shows rising expectations, prompting the need for higher‑quality post information, faster browsing, more precise recommendations, and a better overall experience.

Existing Problems

Too many categories and inconsistent list‑page styles.

Low relevance between search criteria and results.

Unreasonable sorting rules that ignore user‑valued signals such as ratings.

Insufficient key information for C‑end decision making.

Mixed and unclear tag usage.

Ambiguous merchant star ratings.

Analysis of Peer Products

Strong visual consistency and clear structure.

Efficient filtering using special tags for specific attributes.

Prominent evaluation content that helps quick decisions.

Weakened tags to highlight selling points.

Design Thinking

1. Improve Information Matching : Simplify filter conditions, capture precise user intents, and refine sorting rules.

2. Boost Filtering Efficiency : Design visual browsing flows, focus information, and create hierarchical emphasis.

3. Service Scenario Layering : Segment services, define patterns, and create immersive experiences.

4. Refine Detail Experience : Standardize design, differentiate operation markers, and handle brand‑specific cases.

5. Precise User Targeting : Use primary and secondary filters with optimized terminology to quickly surface target information.

6. Information Reconstruction : Re‑layout single‑post structures, prioritize important data, weaken non‑essential tags, and expose evaluations for rapid decision making; introduce large‑image modes for image‑heavy categories.

Service‑Scenario Issues

Inconsistent detail‑page designs across 19 primary categories.

Missing or vague pricing information.

Cluttered and unclear content.

Poor evaluation usability; low‑quality reviews dominate.

Ambiguous merchant information (e.g., post counts).

Interaction flaws such as misleading horizontal image carousels.

Design Solutions for Service Scenario

1. Guide User Focus : Auto‑expand top functional area for new users.

2. Reduce Information Asymmetry : Align first‑card data with list‑page details.

3. Prioritize Valuable Content : Show price modules first, optimize evaluation and Q&A display.

4. Standardize Backend Control : Ensure visual consistency through backend rules.

5. Adaptive Visual Modes : Offer large‑image, small‑image, and no‑image layouts per category.

6. Normalize Card Styles : Refine image viewing, video playback, and overall card hierarchy.

Conclusion

Through a long‑term, scenario‑based redesign, the project significantly improved information quality and user efficiency. Designers acted as users, continuously observing, summarizing, and solving pain points, ultimately delivering a more consistent, immersive, and decision‑friendly service experience.