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 1β5 using qualitative indicators.
Ownership & Initiative
Measures: ability to act without being told, find problems, and move work forward.
5 β Outstanding
β’
Identifies problems and opportunities proactively
β’
Proposes solutions with clear reasoning
β’
Moves projects forward without needing instruction
β’
Consistently asks:
β βWhat is the highest-impact thing I can do?β
β’
Takes responsibility for outcomes, not just tasks
3 β Expected
β’
Completes assigned work reliably
β’
Occasionally suggests improvements
β’
Works independently once direction is given
1 β 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 β 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 β Expected
β’
Provides updates when asked
β’
Communicates basic progress and blockers
1 β Poor
β’
Passive communication
β’
Delayed updates
β’
Hidden blockers
β’
Causes misalignment or surprises
Execution & Impact
Measures: ability to deliver meaningful outcomes.
5 β 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 β Expected
β’
Completes assigned tasks on time
β’
Delivers consistent output
1 β 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 β 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 β Expected
β’
Uses AI tools for:
β¦
drafting
β¦
research
β¦
basic productivity
β’
Improves speed moderately
1 β 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 β 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 β Expected
β’
Learns when required
β’
Adapts with some guidance
1 β Poor
β’
Slow to adapt
β’
Resistant to change
β’
Repeats mistakes
β’
Needs repeated guidance
Example Evaluation
Dimension | Score (1β5) | Notes |
Ownership & Initiative | ||
Communication & Transparency | ||
Execution & Impact | ||
AI Leverage & Efficiency | ||
Learning Speed & Adaptability |
Total Score: 19/25
Rating: βVery Goodβ
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 wasnβt?
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

