The customer described a need. What did engineering hear?

A customer explains the problem through the experience of using a service. Product interprets an opportunity. Engineering translates it into work that can be built. Each crossing can preserve an important insight or quietly replace it with an assumption.

The result can satisfy a specification while leaving the original difficulty intact.

Better understanding begins by connecting the requested capability with the use that gives it value.

Trace the request back to the situation.

Who is trying to do what? What makes it difficult? What should become possible when the work is complete? Which part of the request describes a necessary outcome, and which part proposes a particular solution?

The distinction creates room for engineering to contribute. A technical perspective may reveal a simpler interaction, an overlooked constraint, or an alternative the customer did not know to request.

Howard Pearlmutter has worked across requirements discovery, software design, architecture, implementation, and commercial advisory. This lets the conversation include both the user's situation and the mechanism that might improve it.

Make the proposed interpretation inspectable.

A prototype, example, visual model, or working session can expose whether the participants mean the same thing before the organization invests heavily in the interpretation.

For GM and Ford users, the requested capability concerned executive examination of complex factory designs. Howard's solution connected technical models to animated, interactive management reports through a commercial web-enabled system.

For a designer-products client, he built a rich-media showroom prototype intended to support sales conversations with potential distribution partners and buyers, while also serving a public brand purpose. The interface was part of the commercial conversation.

The job was to connect software behavior with what people needed to understand and do.

Include the people who inherit the promise.

An attractive idea can create obligations for delivery, operations, support, and the customer relationship. Their knowledge should help shape what the promise means.

A shared model can make those dependencies visible. A focused technical examination can test a difficult assumption. A clearer explanation can help customer-facing and technical participants use the same distinction.

Begin with one request that keeps changing meaning.

Choose a feature, workflow, or commitment that different groups describe differently. Ask what each believes the finished result will allow someone to do.

The difference may reveal the most useful next question.

Read the factory case, the work behind a specification, or working sessions for ways to connect the interpretation before it becomes expensive to change.