This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
2) Then, to identify potential upside based learnings from within the company as well as across benchmarks from across industry. Of course, as an investor you can’t run A/Btests or analyze results directly, but you can form hypotheses, ideate, and apply the same type of thinking. This is your forecast.
I often use benchmarks like D30 >20% or projecting out M12 to be >30% to try to assess this. Or if you just put X engineers on Y product optimizations, then the growth rate increases by Z. There were projects to help with A/Btesting (Morpheus!), But more importantly, it should be qualitative.
Our recent benchmarking of nearly 900 B2B companies underscores the importance of these tools. An industrial equipment distribution company uses artificial intelligence powered by Lattice Engines to identify the right products to cross-sell to customers. Detect and reinforce effective behaviors. Iterative machine learning.
This is a guest post by Kalpesh Patel , an Engineer, who for Egnyte from home. Keep it simple: New engineers join every month so the goal is to have them productive from week one - a simple architecture ensures easy induction. A fairly distributed engineering team at the start but now gravitating mostly in Mountain View, Poland, India.
We organize all of the trending information in your field so you don't have to. Join 29,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content