Experimentation-Driven Product Development
Organizations today rely heavily on robust release management practices and full stack experimentation capabilities to deliver exceptional user experiences and to rapidly and safely deploy product features. The ability to continually iterate on the user experience and product features help organizations make impactful business practices decisions. Today, feature releases and optimizations are done in silos, significantly impacting the end customer experience and creating a ‘bottleneck of innovation’ within the organization.
The select few large companies (Uber, LinkedIn, Facebook) have built homegrown release management and experimentation platforms to facilitate some level of automation with feature releases, and to make running experiments internally easier by hiding all the pitfalls and automating the analytical heavy-lifting. These platforms automate experiment setup, assignment, and analysis, and display results to aid in faster decision-making. However, the majority of companies out there are not equipped to roll-their own, both from a skills set, resourcing and day to day maintenance perspective.
Existing solutions today fall short in meeting the needs of a full stack experimentation team: engineers, data scientists, and product managers. By building a platform for experimentation, product development shifts from up-front guessing to market driven.
Akash highlights practices of modern software delivery, Continuous Delivery, and experimentation to provide a new approach to product development.
Adil Aijaz: CEO and co-founder, Split
Akash Parikh: Head of Experimentation, Uber
Devang Sachdev: Head of Solutions Marketing, Twilio