AI Skill Report Card
Reviewing Feedback
Quick Start
Current feedback: [paste feedback/scorecard here]
Context: [what was being evaluated]
Analysis:
- Strengths: [key positive points]
- Gaps: [specific areas needing improvement]
- Priority actions: [top 3 actionable items]
Workflow
-
Parse the feedback structure
- Identify scoring criteria/rubrics
- Note quantitative scores vs qualitative comments
- Separate overall themes from specific details
-
Extract key insights
- Strengths to leverage
- Weaknesses requiring attention
- Patterns across multiple feedback points
-
Prioritize improvements
- Impact vs effort analysis
- Quick wins vs long-term development
- Dependencies between improvement areas
-
Create action plan
- Specific, measurable next steps
- Timeline for implementation
- Success metrics
Progress:
- Feedback parsed and categorized
- Key strengths and gaps identified
- Improvement priorities ranked
- Action plan created with timelines
Examples
Example 1: Input: "Code review feedback: Good logic flow (8/10), but variable naming unclear (4/10) and missing error handling (3/10)" Output:
- Strengths: Strong algorithmic thinking
- Priority fixes: 1) Add try-catch blocks, 2) Rename variables to be descriptive
- Quick win: Variable renaming (30 min), Error handling (2 hours)
Example 2: Input: "Presentation scored 7/10 - clear content but monotone delivery and weak conclusion" Output:
- Strengths: Well-organized information
- Improvements: Voice modulation practice, stronger closing statements
- Action: Record practice sessions, prepare 3 conclusion templates
Best Practices
- Look for feedback patterns, not just individual comments
- Separate ego from analysis - treat feedback as data
- Quantify vague feedback when possible ("improve communication" → "speak 20% slower")
- Balance addressing weaknesses with leveraging strengths
- Set specific deadlines for implementing changes
Common Pitfalls
- Don't dismiss positive feedback as unimportant
- Don't try to fix everything at once - prioritize
- Don't assume you understand feedback without clarifying ambiguous points
- Don't focus only on negative feedback while ignoring what's working well
- Don't create improvement plans without concrete, measurable actions