Measuring Happiness
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Formation needed a way to measure user satisfaction with our products consistently and repeatedly so that we can put users first when prioritizing our roadmap.
METHOD
Happiness Tracking Surveys (HaTS), conducted quarterly
Developed at Google, “HaTS represents an optimized approach to data collection, sampling, and analysis. The short questionnaire [] measures users’ happiness with a given product, as part of gauging the overall quality of the user experience [23]. We refer to happiness as a set of metrics such as overall satisfaction, likelihood to recommend, perceived frustrations, and attitudes towards common product attributes, among others. Its design is grounded in an extensive body of questionnaire design research, substantial experimental testing, and best practices in data analysis, all with the goal to optimize validity, reliability, and sensitivity.”
RESULTS
HaTS results are presented in a memo form. I visualize likert scales and other closed-ended answers with charts, and conduct a content analysis on all free form fields, codifying and subsequently counting cited issues.
OUTCOME
HaTS has been instrumental in roadmap planning and prioritizing research activities. Upon wrapping HaTS Q2, for example, we got to work exploring user frustration around search, which has been prioritized for Q3.