Next DPLC Live Webinar & Discussion @ 1pm ET on Feb 27, 2024
The Data Product Leadership Community is excited to host Karen Meppen of Hakkoda and DPLC founding member to discuss Immature Data, and Immature Clients: Are Data Products the Right Approach? We'll hear from Karen and then participate in an open dialog. Like all DPLC live sessions, it's fully recorded and transcribed too, and you can keep the chat going in our 24-7 Slack. For members only.
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Why the “V” in your MVP product/service may be totally wrong

I didn't come up with this, but it is *so* spot-on.  There are (2) MVPs out there you can build for analytics services, IOT, SAAS data products, and the like: 

Minimal Viable Products


Minimum Valuable Products.

Which one do customers care about?

Take a guess.

This doesn't mean you can't launch quickly and get feedback. But, it does mean you need to determine what is actually VALUABLE before you start designing. This means understanding your customer and business problems clearly, and being able to state them to your team so that they are actionable.  This is probably even more true for complex analytics and information products that can absolutely drown customers in noise if they aren't accompanied by an elegant experience. 

Viable is about "barely holding on."  Valuable doesn't necessarily mean "costlier and slower;" it just means you aligned your solution with the problem from the start.

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