Monthly Archives: March 2016

MVP considered harmful. Introducing the MVI.

When adopting Agile at scale, we always need to remember the three things that have the most impact… Context, Context, and Context.

MVP or Minimum Viable Product is a fantastic idea for start ups. It tells you to build the smallest, most minimal product that will be viable for your target customer segment or market. MVP is about discovering a market for a new product. Interestingly many people miss the important aspect of MVPs. MVPs are a risk management approach to help you determine whether your hypotheses about your target customer segment and their needs (or jobs to be done) are correct or not. MVPs are nothing to do with your product really. They are to do with the customer segment and their needs. A start up is defined as a organisation that is establishing its customer segment and the customer’s needs.

Normally when we talk about scaling Agile, we are talking about introducing Agile to an organisation with established products and markets. And this is the problem. These companies already have customers. These companies already have market share. These companies already have products that are more than minimally viable. As they engage in an Agile transformation, they adopt Agile, Lean, Lean UX and Lean Startup concepts… including MVP. However they already have a product so they assume that MVP means the MVR or “Minimum Viable Rewrite” as they transform to Agile and completely replace existing products with “Agile” products. MVP becomes the minimum amount of the existing product that needs to be recreated in the new “Agile” product. That minimum tends to be a complete rewrite of the existing product. In other words, a completely non Agile approach to transformation.

Over the past few years I have seen a pattern emerging in organisations that have mature products as they adopt Agile. They all have a flagship Agile project that has a scarily familiar description. They have successfully implemented “Scrum” (This is in no way a criticism of Scrum because they are not really doing Scrum). They proudly tell everyone about their two week sprints and monthly/bi-monthly releases. The problem is that the releases are always into a “testing” / “staging” / “pseudo production” environment. The flagship project normally has one or two years worth of inventory in the non production environment and they are about to release a huge change on the business. The only risk this approach addresses is the risk that “IT” will deliver into that environment. There is no feedback from the market that the rewrite product is fit for purpose. In effect the risk that the business case (understanding of the target market’s needs) is wrong or the damage to the existing product (market share) are ignored.

The alternative for organisations with mature products is to consider an MVI or Minimum Viable Investment approach. First instrument up your product so that you understand your current metrics. Then identify investments into your product to improve it. Gradually make small investments into your product until you can make big architectural changes easily. In effect you refactor your product towards a new vision of the product.Start from the outside and work your way in. In other words, start with your customer and work back through the value stream. Understand that taking an inside-out approach will lead to a massive and risky transformation that ignores your customer.

Transform your approach to your product rather than try to transform your product itself. Transforming your product is normally a good indicator that you have not transformed your approach and thinking. It is big batch change.

To summarise:

If you are building a new product for a new market, use an MVP approach.

If you have an existing product (i.e. market), adopt an MVI approach.

If your transformation partner (consultancy) is advocating a big bang approach to transformation, sack them. They do not understand Agile and should be cast out and shunned for selling snake oil. Obviously they wont say its a big bang approach, but measure the lead time to production customers. Let the data reveal reality rather than opinions.

 

 

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