EP 110 - Net Adoption Threshold Framework with Anat Eldar

10 de jul. de 2024 · 53m 54s
EP 110 - Net Adoption Threshold Framework with Anat Eldar
Descripción

Is the MVP where we should stop at understanding whether we have a good direction to go with our product idea? Probably not. Join us to the latest episode, where...

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Is the MVP where we should stop at understanding whether we have a good direction to go with our product idea? Probably not.

Join us to the latest episode, where Matt and Moshe have met with Anat Eldar, Product Leadership Consultant, as she goes through her Net Adoption Threshold (NAT) framework. 
Drawing from her extensive product management roles at companies such as Amdocs, Microsoft, AOL, Yahoo and Taboola, as well as from her teaching at the Reichman University, Anat had developed NAT to help product managers and organizations understand not only what the value they create, but also whether it is greater than the costs (both sunk and switching costs) and the current solution’s value. 


Join us as we learn from Anat:
  • How did she get to product 
  • What is the Net Adoption Threshold (NAT) framework
  • Who is it for and how they use it
  • Does it fit all types of products and situations?
  • Does it work well with other frameworks or does it replace them?
  • The breakdown of the NAT formula: New Solution Value - (Sunk Costs + Switching Costs) > Current Solution Value 
  • How do we quantify each of these? 
  • What is the most important thing to quantify in this process?
  • Some pitfalls when startups attempt to implement the NAT framework and how to avoid them
  • How often should they assess the NAT if things are changing?
  • How to start adopting NAT right away
  • And much more!

You can connect with Anat at:


You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:   

 



Note: any views mentioned in the podcast are the sole views of our hosts and guests,  and do not represent the products mentioned in any way.


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Autor Product for Product Management
Organización Matt Green & Moshe Mikanovsky
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