About You and Your Organization
Help us understand your professional background and the organization you represent.
A Mixed-Methods Decision Framework for Growth Hacking Metric Selection
This survey is part of an academic research project at Politecnico di Torino and the University of Turin. We study how growth-oriented organizations evaluate and select their primary performance metric, the "North Star Metric." Your responses are fully anonymous and will be used solely for research purposes.
Politecnico di Torino & University of Turin
Help us understand your professional background and the organization you represent.
Tell us how your organization uses metrics, OKRs, and growth experimentation. Scale: 1 = Strongly Disagree → 5 = Strongly Agree.
e.g., "Weekly Active Users", "Nights Booked", "Messages Sent"
Rate how important each criterion is when selecting a North Star Metric. Scale: 1 = Not at all important → 7 = Extremely important.
The metric directly reflects the core value your product delivers to customers.
The metric can be tracked reliably and frequently enough to guide weekly decisions.
Teams can directly influence this metric through experiments and initiatives.
Short-term changes in this metric reliably signal long-term business growth.
The metric creates a shared focus that unifies marketing, product, and engineering.
The metric is hard to manipulate or inflate artificially when it becomes a target.
The metric is sensitive enough to detect the impact of individual experiments.
The metric aligns with the organization's current growth stage and strategic direction.
Identify your most and least important criteria, then complete two pairwise comparison tables. This Best-Worst Method section takes 3–5 minutes and is the analytical core of the study.
You may not select the same criterion you chose in D1.
How much more important is your most important criterion compared to each of the others? Select D1 above to unlock this table. Scale: 1 = equally important · 9 = absolutely more important.
How much more important is each criterion compared to your least important criterion? Select D2 above to unlock this table. Scale: 1 = equally important · 9 = absolutely more important.
Please rate these metrics as if you were choosing for an organization similar to yours. Scale: 1 = Very Poor → 5 = Excellent. Use N/A if a metric is not applicable to your context.
Name it and briefly describe why it was chosen.
A few final questions about your organization's metric selection history and any additional thoughts you'd like to share.
Is there anything missing from the criteria listed in this survey?
Your response has been recorded. All answers are fully anonymous - no identifying information was collected or stored. Your input will directly shape the first academic decision framework for structured North Star Metric selection.
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Politecnico di Torino & University of Turin
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