Assessment Analytics

My Deliverables

User flow, Wireframes, Visual Design, Prototype,
Creative Direction And Product Management 

Project Context

Company: Korn Ferry
Duration: 7 months

My Team

Himanshu Kumar : UX Designer

Nelson Remetz : UX Researcher


Assessment Analytics is a client and consultant facing capability that enables clients to examine KF assessment data to answer important talent questions, like

How do the participants compare with each other?

How are the participants performing on average?

How do the participants stack up against the requirements of a Success Profile?

Problem
Statement

The previous organisational assessment process faces challenges of delayed insights for clients and resource-intensive reporting for consultants. Manual data handling raises privacy concerns, causing further friction. A solution is needed to enhance the assessment process, providing prompt, valuable insights for clients and streamlining reporting for consultants, all while ensuring data privacy.

Key Challenges:

  • Delayed Insights for Clients: The existing process leads to substantial delays in delivering assessment insights to clients, impeding their ability to make timely talent-related decisions.
  • Resource-Intensive Reporting for Consultants: Consultants expend considerable time and effort generating reports, diverting their focus from strategic consulting and client support.
  • Privacy Concerns due to Manual Data Handling: The manual nature of data handling poses privacy risks, raising concerns regarding data security and compliance with privacy regulations.

Impact:

  • Client Discontent: Delayed insights diminish client satisfaction and impede their ability to make informed talent decisions promptly.
  • Consultant Overburden: Consultants' resources are tied up in generating reports, limiting their capacity to provide value-added strategic guidance.
  • Risk of Data Breach: Manual handling increases the risk of data breaches, compromising client confidentiality and organizational compliance.
Objective

The project aims to develop and implement an Assessment Analytics capability that empowers clients and consultants to access, analyze, and derive valuable insights from KF assessment data efficiently. By addressing existing challenges and limitations, the goal is to provide prompt, insightful, and privacy-conscious analytics for clients while streamlining reporting for consultants.

My Big Plan

1. Build a Simple and Flexible System
Create a design system for analytics that’s easy to adapt for different kinds of reports, following what’s standard in the market.

2. Decide What’s Essential for the First Version
Pick the most important features to include in the first POC (Proof of Concept) to make sure we start strong and practical.

3. Make Customization Easy
Keep the system simple and user-friendly, so anyone can customize reports without feeling stuck or overwhelmed.

Highlights
Key Metrics
75 SUS Score

Achieved a System Usability Scale (SUS) score of 75, exceeding the industry benchmark of 65.

90% Reduction in Task Time

Automated manual processes like fetching assessment data and tailoring it to client requirements, significantly cutting the time needed for submissions.

98% Fewer Data Errors

Minimized mistakes caused by manual data entry, ensuring more accurate and reliable analytics.

A Success Story

Recently a large industrial client was using the Korn Ferry Potential tool as part of a large-scale talent assessment and development program. Using the analytics platform to monitor trends as the project progressed, they were able to easily identify group strengths and development needs quickly and in an automated way.

Users were also able to easily create graphics to represent the trends they were seeing in the platform, which updated automatically as participants completed their assessments. Activities were then targeted towards these common development areas.

Want to know more about this case study? 

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