Redesigning Ganji’s Enterprise Job Search: Boosting Intent and Differentiation

Focusing on optimizing Ganji’s enterprise‑oriented job‑search scenario, we share the project’s methodology and insights.

Project Background

Unlike traditional list‑based job search, Ganji’s “Enterprise Zone” offers a company‑centric job‑search experience. Initial project information was limited to online product data, click‑heatmaps, and prototype requirements, prompting a deep‑dive analysis.

Key Optimization Goals

Increase medium‑to‑high intent conversions and create differentiated scenarios.

Position the Enterprise Zone as a core module within the app’s five‑tab structure.

Maintain the enterprise‑dimension job‑search flow.

Enterprise Section in App Structure

The Ganji app consists of Home, Social Circle, Enterprise Zone, Messages, and My tabs. Home and Enterprise Zone are comprehensive pages that must support job‑search functions, brand assurance, and retention operations, aligning business and user needs.

Strategic Layer

We first defined the strategic layer, questioning whether the existing Enterprise Zone content was optimal. By inventorying Ganji’s capabilities—company info, job listings, recruiter details, and platform strengths—we identified missing high‑value information such as company location.

Range Layer and New Content

Combining dimensions like location, popularity, and urgency, we created “Local Enterprise Rankings” and “Local Urgent Hiring” lists, enriching the page with composite data that better supports user decision‑making.

Design Solutions: Transmitting New Content

We introduced new naming conventions and definitions: “Big‑Brand Enterprise Hall” for well‑known, high‑salary companies, and “Local Hot Enterprise List” for top local firms. Detailed explanations highlight platform endorsement, credibility, and benefits.

Design Solutions: Reshaping the New Scene

Understanding user needs at the intention‑decision stage, we mapped user expectations to two tiers: basic needs (efficiency, authenticity, authority, quality) and advanced needs (richness, precision). The page layout now features a head‑section with high‑priority information, followed by a feed area presenting richer, more precise data.

Implementation Details

Efficiency

Reduced the top‑search box size, added a subtitle for the Enterprise Zone, and compressed header space to improve screen efficiency.

Precision

Optimized the “Nearby Enterprises” module with LBS data, dynamic visualizations, and city‑specific map containers.

Authenticity

Combined images, videos, and key job details in expandable containers to convey genuine company information.

Authority & Quality

Displayed “Big‑Brand Enterprise Hall” with platform reviews and introduced an introductory page for new users.

Richness & Precision

Reorganized the feed into tabs such as “Large Scale”, “Great Benefits”, and “Excellent Environment”, and refined job cards to improve browsing flow and content exposure.

Results and Learnings

Key metrics (medium‑to‑high intent conversion, retention, UV value, VPPV, bounce rate) showed significant improvement, indicating increased revenue potential.

Established a smoother collaboration workflow with content operations and identified process bottlenecks for future projects.

Discovered a high‑performing “Map‑Find‑Job” sub‑scene, suggesting further expansion of location‑based job search.

Although the user base for the Enterprise Zone is smaller than the overall app, the redesign delivered unexpected incremental revenue by better serving deep‑engagement users.