A surge in user growth had created excitement among management and investors and a sense of momentum in the users of the social app. An increasing volume of activity, network effects, and new use profiles compounded to push the complexity of the data to new heights. An ambitious product roadmap was certain to add to that complexity, and engineering had their hands full implementing it. From day-to-day activity and developing trends to strategic decisions about product direction, management needed support in decision making and awareness.
Extrasensory began with an interview of executives in charge of product, marketing, and finance to understand the current state and strategic direction of the business. This enabled us to develop and propose a vision for a data and analytics function intended to meet immediate needs and scale for years to come as follows:
Extrasensory adopted a rapid prototyping development style, presenting prototypes of timeseries and key metrics within days. This allowed feedback on design and business logic to to infuse the development process from the start. Over time, the engagement settled into a short sprint cadence, and an at-a-glance dashboard suite was fleshed out and refined.
With a clear picture of where they were, leaders were now ready to think about where they were going. Strategic decisions take the form of hypotheses or "what if?" scenarios. While no one can see the future with perfect clarity, Extrasensory was able to enhance future vision with a comprehensive data warehouse at their disposal. As decisions were made, hypotheticals became actuals, and exploratory studies became key metrics integrated into dashboards.
Critically, this approach allowed the client to reap the benefits of an in-house data and analytics team without needing to hire. In time, with a working data and analytics function, they would be set up to hire for the right roles, and Extrasensory would ensure a smooth handover.
Gathering and alignment of technical requirements with management strategy and vision.
Purposeful collection, transformation, and retention of relevant data.
Iterative development of business process or software features based on projections of performance using historical data.
Comparison of expected and observed behaviors during and after release.
Savings compared to filling data and analytics roles in-house.
Coverage of across financial, growth, user behavior, feature performance, and engagement.
New hires required in critical early phase of development.
1While this case study is written from the point of view of Extrasensory, this work was done by the principal consultant as an independent contractor prior to the formation of Extrasensory.