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Reflection & Impact Review

Overview

We evaluate team members based on how they think, operate, and create impact, not just tasks completed:
1.
Ownership & Initiative
2.
Communication & Transparency
3.
Execution & Impact
4.
AI Leverage & Efficiency
5.
Learning Speed & Adaptability
Each dimension is scored 1–5 using qualitative indicators.

Ownership & Initiative

Measures: ability to act without being told, find problems, and move work forward.
5 – Outstanding
β€’
Identifies problems and opportunities proactively
β€’
Proposes solutions with clear reasoning
β€’
Moves projects forward without needing instruction
β€’
Consistently asks: β†’ β€œWhat is the highest-impact thing I can do?”
β€’
Takes responsibility for outcomes, not just tasks
3 – Expected
β€’
Completes assigned work reliably
β€’
Occasionally suggests improvements
β€’
Works independently once direction is given
1 – Poor
β€’
Waits for instructions
β€’
Does not take initiative
β€’
Avoids ownership of problems
β€’
Needs constant direction

Communication & Transparency

Measures: clarity, proactiveness, and visibility of work.
5 – Outstanding
β€’
Communicates early and clearly
β€’
Shares progress without being asked
β€’
Flags risks and blockers immediately
β€’
Provides context, not just updates
β€’
Actively aligns with team and priorities
3 – Expected
β€’
Provides updates when asked
β€’
Communicates basic progress and blockers
1 – Poor
β€’
Passive communication
β€’
Delayed updates
β€’
Hidden blockers
β€’
Causes misalignment or surprises

Execution & Impact

Measures: ability to deliver meaningful outcomes.
5 – Outstanding
β€’
Focuses on high-impact work
β€’
Completes tasks efficiently and reliably
β€’
Improves processes, not just executes
β€’
Delivers outcomes that move the product forward
3 – Expected
β€’
Completes assigned tasks on time
β€’
Delivers consistent output
1 – Poor
β€’
Low output or missed deadlines
β€’
Focuses on low-value tasks
β€’
Requires follow-up to complete work

AI Leverage & Efficiency

Measures: ability to use AI to scale output and improve workflows.
5 – Outstanding
β€’
Uses AI to significantly increase productivity
β€’
Builds reusable:
β—¦
prompts
β—¦
templates
β—¦
workflows
β€’
Replaces manual work with AI systems
β€’
Identifies new ways AI can improve the product or operations
β€’
Shares AI workflows with team
3 – Expected
β€’
Uses AI tools for:
β—¦
drafting
β—¦
research
β—¦
basic productivity
β€’
Improves speed moderately
1 – Poor
β€’
Rarely uses AI
β€’
Uses AI superficially (no workflow integration)
β€’
Relies on manual work unnecessarily

Learning Speed & Adaptability

Measures: ability to learn quickly and adapt in a fast-moving environment.
5 – Outstanding
β€’
Learns new tools / domains quickly
β€’
Adapts to changes without friction
β€’
Actively seeks feedback and improves
β€’
Applies learning immediately to work
3 – Expected
β€’
Learns when required
β€’
Adapts with some guidance
1 – Poor
β€’
Slow to adapt
β€’
Resistant to change
β€’
Repeats mistakes
β€’
Needs repeated guidance

Example Evaluation

Dimension
Score (1–5)
Notes
Ownership & Initiative
Communication & Transparency
Execution & Impact
AI Leverage & Efficiency
Learning Speed & Adaptability
Total Score: 19/25
Rating: β€œVery Good”

Food For Thought

1. How did you use AI this month?

β€’
What tasks did AI help accelerate?
β€’
What workflows were improved?
β€’
What could have been automated but wasn’t?

2. What did you learn?

β€’
tools / skills
β€’
domain knowledge
β€’
better ways of working

3. What will you improve next month?

β€’
specific, actionable
β€’
tied to impact