Own survey methodology as a craft - Design and run advanced quantitative studies end to end: conjoint, MaxDiff and TURF, price sensitivity, monadic testing, segmentation, driver and key-driver analysis. Own sampling, quotas, logic, bias mitigation, weighting, and the analysis that follows.
Make pricing and packaging decisions defensible - Partner directly with the PMs and leads owning subscription revenue to turn packaging, tier, and pricing questions into studies that produce an answer they can act on, with honest confidence intervals attached.
Build and evolve our longitudinal measurement systems - Extend our always-on measurement program: satisfaction and sentiment trackers, product health composites, perception scales, and the reporting cadence that puts them in front of leadership every month. Make the trends trustworthy enough that people change plans because of them.
Explain conversion, retention, and churn - Combine attitudinal data with behavioral data in Snowflake to answer why people convert, why they cancel, and what would bring them back. Work with data science as a peer, not a requester.
Own the measurement layer of segmentation - Turn behavioral clusters into segments with attitudinal meaning: what each group is trying to do, what they value, and what they’ll pay for. Keep those segments alive and validated rather than one-off.
Lead qualitative work when depth beats scale - Run interviews, diary studies, and concept work to define the right constructs before you measure them, and to explain the findings the numbers can’t.
Advise on method selection across the org - Act as the internal consultant on when a question needs qual, quant, an experiment, or nothing at all. Push back on studies that won’t change a decision.
Communicate so it lands - Turn multi-source data into a clear narrative with a recommendation. Dashboards and decks are the delivery mechanism, not the output.