I’ve just wrapped my first year at Statsig, so it’s a fitting time for a retrospective on expectations versus reality.
Reality: more time in the kitchen meant making friends with fellow snack-lover, Pierre. Our manager of the Console team, Pierre shared his secret Chocolate Milk Coffee recipe with me (sounds silly, tastes amazing). I also now have a dedicated eng buddy who I can ask stupid technical questions.
My work wife Sami rightly pointed out that one of the best parts of startups is the people. When I joined Statsig, I was employee 17, and the only salesperson- so there wasn’t a dedicated team I belonged to. We all eat lunches together- and it’s a catalyst to making friends with everyone from eng and design to product.
Reality: no dress code- because people have more important stuff to worry about. “Results over Effort” is one of our culture values. If wearing Loubotins and a power suit makes you more effective at your job, go for it! Having said that, I’ve closed all my deals wearing my lucky Taco Bell t-shirt.
People bring their authentic selves to work when they don’t have to be performative. We also don’t have dedicated working hours- some folks work 7–3, some work 10–10. Leadership at Statsig trusts people to get their stuff done (whether that’s in cargo shorts or suits)- and this is part of why we’ve been such a productive team.
Reality: people join startups because they want to be there- equity is a nice perk, and huge increases in equity value aren’t guaranteed. Especially for early-stage and private companies, equity is a bet.
A lot of my coworkers joined Statsig specifically because they wanted to get out of the Big Tech rat race. Everyone has a life outside of work and takes vacation- including the CEO.
Having a fantastic product and senior leadership are big factors in Statsig’s relative calm- if you have a great team and your product works, people shouldn’t have to average 80 hour weeks.
Every company is different- but the startup stereotypes I expected (free snacks, weird hours, allbirds) are just happy side effects of a workplace where people are supported and trusted. I give “joining a startup” 5 stars.
Marketplace experiments can have a ripple effect, impacting buyers, sellers, and the health of your platform. Here's how to experiment effectively.
Watch Akin Olugbade's recorded session wherein he discusses how to cultivate a data-driven culture using analytics, and why we decided to create this product.
Where frequentist statistics assigns probabilities to data, Bayesian assigns probabilities to hypotheses. Here's why some experimenters opt for the latter.
Leveraging Google Analytics data for experimentation is powerful. Statsig Warehouse Native can help.
With Statsig Sidecar, marketers and web developers can run experiments and A/B tests directly on a website without writing any code.