Elizabeth Tucker, Director, Product Management at Google Search was a guest on Google’s Search Off the Record podcast where Lizzi Sassman and John Mueller of Google asked her about search quality, how Google measures it, and so much more.
As a reminder, I did interview Elizbeth Tucker for SMX.
I will post my notes below but the things that stood out to me are:
Here is the embed of the interview followed by my raw notes:
Raw notes:
The full transcript is over here.
Glenn Gabe also posted his summary on X – he wrote:
Great episode of SOTR with Google’s Elizabeth Tucker. Covers a number of Search areas, including user experience research (qualitative and quantitative), the power of hearing from objective third-party users – who else has said that btw? :), prioritization of Search problems (balancing frequency and severity), systems that DEMOTE, systems that PROMOTE, the QRG and when EAT first started being used, how that evolved to EEAT, and much more. Again, great episode. I highly recommend listening. 🙂
I’ve covered this before based on previous PDFs Google has published (screenshot below), but when speaking about EEAT, Elizabeth explained there is no ranking signal that’s a one-to-one match with EEAT. But as an example of a letter *aligning* with a ranking signal, PageRank, one of Google’s classic ranking signals, aligns most with authoritativeness, but doesn’t necessarily match with the other letters in EEAT.
One more note about the episode. They covered what EEAT should be called, and I was surprised to not hear Elizabeth call it “Double EAT”. That’s what she called it in the blog post announcement about the second E being added and it’s what I’ve been calling it ever since! 🙂 I personally like “Double EAT”. It’s better than the alternative IMO.
I’ve covered this before based on previous PDFs Google has published (screenshot below), but when speaking about EEAT, Elizabeth explained there is no ranking signal that’s a one-to-one match with EEAT. But as an example of a letter *aligning* with a ranking signal, PageRank, one… pic.twitter.com/4s7p7D4Q8V
— Glenn Gabe (@glenngabe) June 27, 2024
I got this photo above from an older interview with Elizabeth when she was a data scientist at Google:
John Mueller said on LinkedIn, “I learn something every time I chat with Elizabeth.”
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