liveBook · Manning

Self-assessment

As explained in AI for Everyday IT

A self-evaluation is an employee's structured assessment of their own performance, accomplishments, strengths, weaknesses, and progress toward goals.

A self-assessment turns an employee’s goals, criteria, and documented achievements into a concise account of performance. It helps employees communicate progress and gives managers evidence for review discussions. section 15.3 section 15.3.1

Build a stronger self-assessment by:

  • Collecting goals, rating criteria, project timelines, accomplishments, and outcomes. section 15.3.1
  • Asking follow-up questions to uncover relevant details that were not included initially. section 15.3.1
  • Choosing a descriptive or concise style, then using bullets where they improve readability. section 15.3.1
  • Breaking lengthy material into smaller chunks when the AI tool cannot handle all the text reliably. section 15.3.1

Goal-based evaluation prompt

“Using my defined goals and achievement document, analyze each accomplishment against the goal criteria, write a concise self-evaluation, and rate each goal as Meets or Exceeds. Limit each goal to three to five paragraphs and use bullets when helpful.” Review the result for accuracy and completeness before sharing it. section 15.3.1

Table 15.5 Self-eval deep analysis prompts
Task
Prompt
Automated review summary
Generate a concise summary of each team member’s self-evaluation, highlighting key strengths and areas for improvement.
Performance trend analysis
Compare this year’s self-evaluations with last year’s and identify patterns or trends in performance. Determine if the team member has effectively addressed weaknesses and improvement opportunities.
Goal alignment check
Analyze self-evaluations to determine how well team members' personal goals align with team and organizational objectives.
Skill gap identification
Use the self-evaluations to automatically map out a skills matrix for the team, identifying any skill gaps that need to be addressed.
Actionable insights generator
Based on the self-evaluations, generate a list of actionable insights that the manager can discuss with each team member during one-on-one meetings.

Explore prompts for summarizing self-evaluations, comparing performance trends, checking goal alignment, identifying skill gaps, and generating discussion insights. section 15.3.1

How AI for Everyday IT covers it

How deep it goes
Provides prompts, input guidance, analysis tasks, and length workarounds, but does not detail evaluation theory or model internals.
Examples
Uses goals, achievement documents, Meets-or-Exceeds ratings, trend comparisons, alignment checks, and skills-gap analysis.
What it assumes
Assumes access to goals and rating criteria while teaching users to assemble achievements, outcomes, and supporting documentation.
What you can do after
Apply it via an AI chatbot to draft, analyze, summarize, and discuss evidence-based performance evaluations.
How it connects
Connects self-assessments with performance reviews, goals, rating criteria, project outcomes, one-on-one meetings, and sentiment analysis.

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This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.