Data-driven product growth requires precise language. These exercises focus on the collocations growth engineers, PMs, and data analysts use when running experiments, measuring impact, and optimising conversion.
0 / 5 completed
1 / 5
The growth team uses A/B testing infrastructure to ___ on different onboarding flows.
Run experiments is the standard growth and data science collocation for executing controlled tests. 'Run' implies operating a structured experimental process. 'Do' is too informal; 'test experiments' is redundant; 'make experiments' is not idiomatic in professional English.
2 / 5
After each A/B test concludes, the analyst must ___ to determine whether the variant outperformed the control.
Measure impact is the standard data-driven collocation for quantifying the effect of a change. 'Measure' implies using defined metrics and statistical methods. 'Calculate' is close but implies arithmetic rather than analysis; 'assess' is qualitative; 'check' is too informal.
3 / 5
Based on experiment results, the team planned to ___ to increase user retention.
Iterate on features is the standard agile and growth engineering collocation for making successive small improvements based on data. 'Iterate' implies a disciplined, data-informed cycle. 'Update' and 'change' lack this cyclic connotation; 'improve features' is generic.
4 / 5
The growth PM was tasked with finding ways to ___ on the pricing page.
Optimise conversion is the professional growth and CRO collocation for systematically improving the rate at which users complete a desired action. 'Optimise' implies a rigorous, data-driven approach. 'Increase' and 'improve' describe the goal; 'boost' is too informal.
5 / 5
The data team built dashboards to ___ and identify where users drop off during sign-up.
Analyse funnel is the growth engineering collocation for examining conversion rates at each stage of a user journey. 'Analyse' implies systematic, quantitative investigation of funnel data. 'Study' is more academic; 'review' and 'check' are too informal for conversion rate optimisation work.