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Leveraging our analytics API to help editors create better content.
Sparrow—Conde’s analytics API—had been running under the hood for about a year when its product manager approached me with an ask: How can we meaningfully surface metrics within our platforms?
MY ROLE
Recruiting, interview moderation, survey design, synthesis
PROJECT SQUAD
Research lead (me), product manager, lead analyst
PRIMARY RESEARCH QUESTIONS
How and where can we meaningfully surface Sparrow to editorial teams?
METHODS
Stakeholder interviews, subject matter expert interviews, user interviews, user survey
While our survey participants helped us establish the tools used, how analytics are reviewed, and the most important metrics, our interviews revealed that the editorial relationship with analytics is complicated at best. Overwhelmed with a “fire hose” of information and a “focus on virality” that is “bad for mental health,” our interviewees made it clear that the best thing we could do was provide less detail and more direction.
During synthesis I defined the two approaches to analytics (shown above) as well as a series of opportunities, jobs to be done, and scenarios.
OUTCOME
This project is a work in progress. Prototypes and testing results coming soon!