AI Enhanced Performance Review Workflow with Video Submissions

AI-Enhanced Performance Review Video Submissions

1. Preparation Phase

1.1 Define Objectives

Identify the key performance indicators (KPIs) and objectives for the performance review process.

1.2 Select AI Video Tools

Choose appropriate AI-driven video tools, such as:

• HireVue: Utilizes AI to analyze video submissions for candidate assessments.
• Zoom.ai: Automates scheduling and reminders for performance review sessions.
• DeepBrain: Provides AI-generated video summaries for quick review of submissions.

2. Submission Phase

2.1 Employee Video Submission

Employees record their performance review video using selected AI tools. Guidelines should be provided on content and duration.

2.2 AI-Driven Content Analysis

Implement AI algorithms to analyze submitted videos for sentiment, engagement, and clarity. Tools like IBM Watson can assess emotional tone and delivery style.

3. Review Phase

3.1 AI-Assisted Review Process

HR managers utilize AI insights to focus on key areas of performance highlighted in the videos. Tools such as Vidyard can provide analytics on viewer engagement.

3.2 Feedback Compilation

Aggregate feedback from AI analysis and human reviewers to create a comprehensive performance report.

4. Finalization Phase

4.1 Performance Review Meeting

Conduct a meeting where the performance report is discussed. Use AI-generated insights to guide the conversation.

4.2 Action Plan Development

Collaboratively develop an action plan based on the review findings. AI tools can suggest personalized development plans using platforms like LinkedIn Learning.

5. Follow-Up Phase

5.1 Continuous Monitoring

Utilize AI tools to monitor employee progress against the action plan. Implement regular check-ins using software like 15Five.

5.2 Feedback Loop

Establish a feedback loop where employees can provide input on the review process, enhancing future iterations of the performance review.