Strong evidenced week — specific outcomes with numbers and clear ownership throughout.
Score
9.1/10
Criteria Analysis
Impact & Outcomes
Score
8.5 / 10
Comparison
Not enough prior data for a baseline comparison.
Evidence
The lifecycle nurture campaign delivered 54 MQLs at $55 CPL, beating target by 31%.
Interpretation
Results are concrete and attributed — what moved, by how much, and what it unlocked next. Target hit: Delivered results tied to a metric or clear outcome.
Execution Quality
Score
8.9 / 10
Comparison
Not enough prior data for a baseline comparison.
Evidence
Ran an A/B on the pricing page headline — variant B lifted demo requests 10%, now shipped as default.
Interpretation
Quality bar is met throughout, including the unglamorous parts that usually slip. Target hit: Work is correct, complete, and holds the quality bar.
Ownership & Initiative
Score
8.0 / 10
Comparison
Not enough prior data for a baseline comparison.
Evidence
The lifecycle nurture campaign delivered 54 MQLs at $55 CPL, beating target by 31%.
Interpretation
Saw what needed doing and did it — no waiting for direction. Target hit: Takes problems end-to-end without being asked.
Collaboration
Score
9.0 / 10
Comparison
Not enough prior data for a baseline comparison.
Evidence
Ran an A/B on the pricing page headline — variant B lifted demo requests 10%, now shipped as default.
Interpretation
Made other people faster this week, not just themselves. Target hit: Actively unblocks and elevates teammates.
Communication
Score
9.3 / 10
Comparison
Not enough prior data for a baseline comparison.
Evidence
The lifecycle nurture campaign delivered 54 MQLs at $55 CPL, beating target by 31%.
Interpretation
The update is specific, honest about what did not work, and short enough to be read. Target hit: Written updates are specific, concise, and honest.
Growth & Learning
Score
10.0 / 10
Comparison
Not enough prior data for a baseline comparison.
Evidence
Ran an A/B on the pricing page headline — variant B lifted demo requests 10%, now shipped as default.
Interpretation
Ran a real experiment and acted on what it showed. Target hit: Diagnoses what is not working and tests a change.