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Part 1 | Part 2
An Interview with Sheila Mello (2/2)

Getting the Customer's Pain: Using Customer-Centered Definition to Drive Product Development - Part 2

In her new book, Customer-Centric Product Definition (AMACOM, 2002), consultant and author Sheila Mello outlines a process called “Market Driven Product Definition” (MDPD®) which takes the guesswork out of the discovery of customer requirements. MDPD is a replicable process for discovering, understanding, systematizing and prioritizing customer requirements – including customer’s latent needs. The process encourages cross-functional involvement in a program of visits where developers observe customers in their own environment, developing a holistic view of their products in actual use. In the second part of this interview, Mello describes a process by which product developers can ensure a greater likelihood of success at product launch.

PDBPR: In your book, you speak of collecting a large number of customer images and then narrowing down that group to a chosen few that will be used to define a new product. How does MDPD narrow down the number of images so as to include only the best?

Sheila Mello: This portion of MDPD is based on Japanese anthropological research, which involved techniques for distilling down a lot of facts to a number that’s manageable. In the MDPD process, the images are written on Post Itsâ and then the participants read them repeatedly and, through a process of digestion, slowly eliminate the ones that are less rich. Once they’ve read all of them a number of times they can then see which ones are the most useful. If you ask people to eliminate some images before they had read them a half-dozen times (or more) then they tend to feel that they have eliminated some important ones. By the time we get to that last round of reading the Post Its, and we tell them they can choose only two or three each, they have a hard time choosing even that many, because, by this point, they are able to eliminate so many of them.

PDBPR: Can you describe the process used to choose which images are the most significant?

Sheila Mello: Each person reads the images and selects which ones they want to consider further. By reading and rereading the images, they become more discriminating and are able to reduce the number of possibilities so they can choose the best images more easily. What came out of the anthropology was a theory about how, psychologically, people could feel good about picking just a few from a large pool of images. When NASDAQ used this process, they began with 2000 images. One thousand were eliminated in the first round. There were so many that we couldn’t walk around them – we placed them on pieces of paper and passed them around. But people read them all and we eliminated all but 20 or 30 in a half-day. Normally this activity takes a couple of hours.

PDBPR: After synthesizing all the data related to the customer images and voices, the participants in the MDPD process then proceed to derive customer requirements. How do you know when you’ve got a good customer requirement?

Sheila Mello: A good customer requirement is something that a customer needs that is missing from the current functionality. This does not mean that everyone is missing this functionality, but that that customer, the one you know of, is missing it. Later in the process, we also do a survey to get a sense of how important this missing functionality is to a broader customer base. In this process, we ask: “what is the verb?” By this we mean, what action is missing that the customer might require? Then we ask, “how is this missing functionality measurable? How do we know when we have satisfied the requirement?” We need to understand what exactly we are measuring: Is it time? Is it number of steps? How can it be measured?

PDBPR: Does every customer requirement have a metric?

Sheila Mello: Every requirement that is ultimately selected has a metric that gives direction to development. As you begin to write requirements, it is necessary that you make sure that each requirement is measurable. For example, a customer might have said: “I want to read the newspaper in such-and-such an environment.” The missing functionality is that the customer can’t read the newspaper. But what in this requirement is measurable? Is it that they want to read the newspaper quickly? Or is it that they want to read the newspaper under minimum light conditions? Or is it that they want to read the newspaper sitting in a confined area? How do I measure when I have achieved success? Once you have selected the 20-30 key requirements – through a process of digestion similar to that used to narrow down the customer images – then each requirement is associated with a metric, each of which has a test plan. In the Quality literature, the definition of Quality was always this: “Does it meet the functional requirements?” That’s not sufficient. A much more important question is: “Does it meet the customer’s requirement?” When we ask people why they do not make meeting customer requirements the success measure they often say that it’s because the customer requirements are not measurable. But they could be measurable. In fact it’s easier to make a customer requirement measurable than it is to make a feature measurable.

PDBPR: In moving from customer requirements to metrics, the participants are moving from a qualitative to a quantitative focus in terms of their own thinking. Are there common pitfalls associated with this portion of the process?

Sheila Mello: One of the pitfalls is that people try to define the metric in terms of the solution. The whole underpinning of crafting customer requirements is to drive innovation. So you need to phrase your metric in such a way that you do not box yourself into a single solution. Let’s take an image from the game of golf. Suppose when I’m on the golf course I want to be able to find the right golf club with a minimum of effort. How should we measure that? One metric would be the number of times I pulled out a club and it was the wrong one. A metric for “minimum of effort” could also be based on the amount of muscle power it would take to retrieve the right club when you reach for it. Mistakes could be made in terms of setting a solution that would only work for a very strong player, or one that would only work for a very tall person.

PDBPR: Let’s talk about the point where the team is brainstorming solutions. The point is to eventually create a product that will meet a whole range of customer needs. Isn’t it quite possible that by concentrating on individual requirements and individual metrics, one will create a solution that negates some other need or precludes an important feature?

Sheila Mello: When you start brainstorming solutions you want people to come up with innovative – even crazy – solutions considering each requirement separately regardless of its imagined impact on some other requirement. Going back to the golf example, suppose I want to maximize the number of times I reach for and get the right golf club. I might, at the same time, have another requirement that says that I want to minimize the weight of my golf equipment. Some solutions to the first requirement might mean exceeding the weight requirement. In MDPD, we decide, for each requirement, which is the best solution and then merge them together later. This enables much greater creativity and innovation to occur. Oftentimes, developers divide the brainstorming into segments; first they brainstorm the engineering part, and then the mechanical part, and then the software part, but they do not break it down by customer requirement. By breaking it down by requirements you get much greater levels of innovation.

PDBPR: What is the final output of the Market-Driven Product Definition Process?

Sheila Mello: The final output is a winning new product. But it’s also important to understand which requirements you really have to meet. So when you get to the tradeoffs in development, and the schedule slips and you need to cut something, you know which things you cannot cut. There might be other features that, if you cut them out, you might be diminishing the marketing aspect of the product, i.e., how you’re going to sell it, but it’s important to understand why the product has certain features. This information allows you to manage the product development much more effectively. The reason I say that a customer-centric product definition process is the key to great product development is that it enables you to make better decisions. It helps you make better tradeoffs. It also helps you in the commercialization phase, with how you launch the product, how you test it, etc. Your understanding of the product isn’t just that the product needs to do these things, it’s that the product needs to meet these needs. This is a very different perspective for the team and it’s much more energizing as well.

PDBPR: What is the core message regarding customer-centric product definition that you’d like to put across to our readers?

Sheila Mello: The message I’d like to get across is that designing and building winning, profitable products begins with the thorough understanding of customer requirements. Understanding customer requirements is fundamental to improving return on investment. People are realizing that, in this economy, you can’t afford to be wrong. You don’t have that luxury and you have a lot of competition out there, which speaks to a need for more differentiation. Another piece of it is that companies are spending a lot of money on customer retention and Customer Relationship Management (CRM) systems. There’s nothing better for customer retention than giving customers products that meet their needs. You do not need as much customer relationship management if your products meet their needs

This article originally appeared in the August 2002 issue of PDBPR


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Sheila MelloABOUT SHEILA MELLO
Sheila Mello is Managing Partner and Principal Consultant at Product Development Consulting, Inc, Boston, MA. Sheila has helped a wide range of both Fortune 500 companies and smaller high growth organizations to speed time-to-profit and market acceptance, achieve greater product predictability and profitability, identify improvement opportunities and build capabilities that directly impact bottom line results. Before joining PDC, Sheila held director and vice president positions at Bolt, Beranek & Newman, Wang Laboratories, Palladian Software and Distribution
Management Systems, and was a principal consultant with Arthur D. Little, Inc. For more information, go to http://www.pdcinc.com or contact Sheila at: smello@pdcinc.com

 

 


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