A Quote by Neil Blumenthal

Warby Parker is a data-driven company. — © Neil Blumenthal
Warby Parker is a data-driven company.
People who are passionate about Warby Parker are passionate about creating a company that can scale, be profitable, and do good in the world - without charging a premium for it.
Warby Parker designs experiences, not products.
At Warby Parker, we say that we're customer focused but medium agnostic.
One of my favorite products at Warby Parker also happens to be our worst-selling item: the monocle.
I always have two pairs of glasses: geeky black Warby Parker frames and Wayfarer Ray Bans. Those are key!
When my three co-founders and I started Warby Parker in 2010, our primary intention was to sell good-looking, affordable eyewear online.
Millennials in particular get a lot of flack for their supposed entitlement and narcissism, but these evaluations have never matched my experience with hiring young people at Warby Parker.
When we were creating Warby Parker, for us it was about having a positive impact on the world and having a strong social mission.
Starting a company in San Francisco when we did usually meant it was destined to be a data-driven tech company. But that didn't seem to fully encompass what we wanted with Airbnb. When we tried looking through a tech lens, it didn't work. The humanity was missing.
At Warby Parker, we use the survey platform Culture Amp to take employee engagement surveys that help us become ultra-responsive to the needs of our teams.
Imgur is a data-driven company, and our community is our most important signal. But you can't perfectly plot humans neatly into a chart. It takes someone with instincts and empathy to truly understand the community and represent them in all of the company decisions.
At Warby Parker, we moved our focus to promotion only after we'd spent time creating our product, a user-friendly website, and an on-the-ball customer experience team.
Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.
The company started in the early 90s or late 80s. We were a behavioural science company. We didn't pivot into data analytics till 2012. So, all the data that we collected pre-2012, which was done by the British company SBL group, was collected through quantitive and qualitative research on the ground.
Every company has big data in its future and every company will eventually be in the data business.
Start-ups should be hunch-driven early on and data-driven as they scale.
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