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earthmancash

19 karma · joined October 22, 2012

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earthmancash··on A/B testing gets misused to juice metrics in the short term
This post is right up my alley, as I'm a.) the CEO of an AB experimentation platform www.geteppo.com and b.) I'm an Airbnb alum where we rolled out an analogous feature that labeled a listing as "this is a rare find!"

And the funny thing is, I agree with this article. Both the content and the heading of this hackernews article:

1. Notification/scare spam can have long term retention ramifications. The previous generation of experiment platforms made long term metrics literally impossible to read. But now companies can use holdout groups and long term metrics like retention to give more clarity.

2. Even if you can read long term metrics that include retention, the scare/notification spam could lead to less word of mouth growth. For travel, I am guessing that you will be swayed to drive WoM growth more by differentiated inventory, reliable service, and cost, so maybe it's just merely annoying but not a risk to the business.

3. Notice that Airbnb's UI is very, very different from Booking, Expedia. We made a conscious choice to always make sure Airbnb came across as a "sincerely helpful friend" as a booking platform. An AB experiment showing that metrics improve doesn't mean that you have to launch it. You can look at those results and say, "this metric lift isn't worth how ugly it's making my site", and that's a completely valid choice. (a choice we made often at Airbnb)

earthmancash··on Eppo, a product experimentation platform, raises $19.5M for expansion
Yup, Eppo will do the randomization/exposure part of the experiments. But we also can be (and are often) paired with existing randomization tools, whether it's LaunchDarkly, Optimizely, or in-house capabilities.

And I'd bet that there is a lot in common with Eppo and your tooling at Lyft. :) The product was inspired by what we built at Airbnb, and what we saw at Netflix, DoorDash, etc. An easy way to understand Eppo is "a SaaS experimentation tool that feels like what you had at Airbnb/Lyft/Dropbox."

earthmancash··on Eppo, a product experimentation platform, raises $19.5M for expansion
Optimizely, vwo, abtasty type of tools were built to allow self serve experimentation to marketers, and don’t provide the depth and quality of analysis that most product experiments need. They create separate data planes that usually limit the type of metrics you can use, leading to most tech firms just rolling their own analysis.

Eppo is built for product experiments and data teams, with an emphasis on trustworthy, deep analysis. The initial data/metrics plane is sourced from data warehouses via SQL, and the workflow and stats engine is built so that engineers, PMs, designers can self serve experiments while making statistically sound, scientifically valid decisions.

Let me know if that makes sense, happy to elaborate

earthmancash··on Ask HN: Who is hiring? (April 2022)
Eppo | Remoto or Onsite SF USA | https://geteppo.com

At Eppo we’re building a next generation experimentation platform built on top of the modern data stack to enable an entrepreneurial culture. This was inspired by our experience building this same infrastructure at Airbnb, Stitchfix, and Webflow.

We’re currently hiring for:

- Full stack engineer

- Data engineer

- Statistics engineer “A statistician who can write production code”

- Sales engineer

- Data scientist - customer experimentation

Eppo is well funded and the team is rapidly growing. For more information, check out https://www.geteppo.com/careers or reach out directly to us by emailing che at geteppo dot com