Out of the many high bandwidth conversations at the conference and in the weeks following the event, one stands out: Statsig founder and CEO Vijaye Raji joined another ex-Facebook builder, Sean Taylor, in a podcast conversation with hosts Tristan and Julia of dbt Labs’ The Analytics Engineering Podcast.
This episode, appropriately titled “Minimum Viable Experimentation,” covers a lot of ground in just 45 minutes. Avoiding any spoilers, the takeaways that I’m still thinking about as I type this are centered around the following main ideas:
Distributed decision-making and increased trust across teams are just a few of the business outcomes increased by experimentation that highly scalable organizations strive to achieve.
It’s hard enough to get good data scientists, so once you have a strong team, the right tooling empowers them to focus on strategic decision-making and experimentation instead of tedious (and turnover-inducing) number crunching.
Which metrics matter the most to your business will intrinsically reveal themselves
In addition to the themes above, just a few of the standout quotes from each podcast participant include:
“Build products really fast and experiment all the time.”- Vijaye
“Folks who haven’t existed in that environment…it’s a little bit hard to imagine all the things that have to be working right in order to get this [experimentation] flywheel moving.” - Tristan
“You also have to have a culture of being okay to shut down work that you’ve spent several months building and the numbers aren’t showing the numbers you’re hoping for…that’s a big cultural acceptance for a company” - Julia
“A very small number of experiments are successful. Maybe one in ten or one in six….you always learn something from an experiment; even the failed ones.” - Sean
If you’re like me and typically listen to podcasts at 1.25x or 1.5x speed, take my advice and play this conversation at normal 1x; there are so many hard-hitting points to ponder and this episode absolutely flies by. Check it out 👇
The conversation around open source has become more relevant than ever in the rapidly evolving world of software development.
Explore how novelty effects shape product success and decision-making. Understand their impact to make informed, long-lasting strategies.
Statsig Product Analytics comes equipped with features like metric drill-downs, dashboards, user journeys, and more, letting our customers' data give them the full picture.
Identity resolution pertains to how a platform will handle users crossing different technical boundaries—including how unknown users become known through their actions.
Product analytics platforms don't exactly have transparent pricing. Find out how we hashed them out in order to offer a scalable and affordable analytics package.
The story of the highest paid opinion (hipo) and building a culture of experimentation with Dylan Lewis, Experimentation Leader at Atlassian.