Tom Tunguz
FEBRUARY 27, 2023
Anyone who has managed a larger BI deployment has faced the challenge of managing hundreds, perhaps thousands of metrics. In the BI tool, a marketing analyst finds three metrics: cost_of_customer_acq, CAC2, & new_CAC. Data brawls - disputes between teams about metrics definitions - break out. Give it a try here.
SaaStr
DECEMBER 13, 2023
Dave Kellogg, EIR at Balderton Capital and 25-year C-level veteran, shares the top 14 signs that you have a SaaS metrics problem, the five reasons those symptoms exist, and a SaaS metrics maturity model with five layers to help you move the needle at every stage. The 15 Types of Misuse and Abuse of SaaS Metrics #1: Bludgeoning.
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SaaStr
AUGUST 26, 2023
Data Doesn’t Have to be Hard: Three Data Myths and How to Bust Them with Mailchimp with John Humphrey, former Head of Data Platform Product at Mailchimp John Humphrey, former head of data platform product at MailChimp and current principal at mfact, joined SaaStr live at Workshop Wednesday to discuss three data myths and how to debunk them.
User Pilot
MAY 31, 2024
Would you like to learn how to design a SaaS metrics dashboard for your team without any coding? We also explain what metrics you may want to track and how to use the insights they offer. These dashboards are often customizable so they allow businesses to focus on specific metrics relevant to their goals. To name just a few.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity?
Clouded Judgement
AUGUST 25, 2023
Klaviyo Overview From the S1 - “Klaviyo enables businesses to drive revenue growth by making it easy to bring their first-party data together and use it to create and deliver highly personalized consumer experiences across digital channels. ” “Data Layer. ” “Data Layer.
Tom Tunguz
JULY 8, 2023
In There’s No Such Thing as Series A Metrics , Charles Hudson explains that there is no magic milestone to raise a Series A. But the data shows how much the market differs from a few years ago. The second reason for a lack of consistent metrics for Series A has to do with perturbations in purchasing behavior.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
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Product teams have access to tons of data these days—volumes more than we’ve ever had before. Overcoming it requires knowing exactly which metrics are the most important to track. But the sheer scale of what's available has many of us at a loss for how to best harness it all to measure product success.
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Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. To accomplish this, product teams must regularly evaluate specific metrics that will yield the most insight.
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We’ve all got loads of data at our fingertips. Which metrics are the most valuable to keep an eye on? In this eBook, we share the top 10 KPIs every product pro should know. Some of them might already be familiar to you, but others will be brand new.
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Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models.
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