A devastating zero model can guide your actions when deficiencies are discovered in projects. This concept may help you recover from new product development problems.
Suddenly aware
In one of my current projects, I had the impression that everything was satisfactory. The objectives were clear. We had support from the highest levels of management. It seemed that many of the individual contributors were engaged and working in a cohesive and harmonious manner, Then, I learned of one exception. There was a potential problem related to the promotional effort for the product.
In a communication with the project sponsor, I wrote that I had just learned of a potential problem and that I had requested more information.
In addition, I wrote the phrase “I am not involved with promotional efforts.”
It was then that I realized the cause of my mistake. An excuse of “not being involved” is inadequate.
When I became aware of the potential problem, my first tendency was to assign blame and demand accountability.
Fortunately, my thoughts shifted to options for recovery.
Two analysis perspectives
During my analysis, I discovered that I could improve my understanding of the situation using a mathematical model that I am proposing for new product development.
Typically, mathematical models associated with new product development projects are associated with financial results such as the return on investment (ROI) or total sales or relative growth. These types of analyses predict post-launch results.
Another type of mathematical model can be associated with development. It requires a pre-launch perspective.
Typically, mathematical models associated with new product development projects are associated with financial results such as the return on investment (ROI) or total sales or relative growth. These types of analyses are done post-launch.Another type of mathematical model can be associated with development. It requires a pre-launch perspective.
Forecasting success
Prior to launch, there are many approaches to forecasting new product development success. Factors that may be used to predict success may include perceived qualities related to the following:
Initial concept
Refined concept (which is also known as a pivot)
Business model
Process
Management
Individual contributors
Competition
The perceptions impact project decisions (such as go / kill / wait), project portfolio decisions, and business development decisions.
Development equations
Consider the following simplified equations that contain factors A to Z that contribute to the project value.
Value = f[A + B + C + … + X + Y + Z]
Value = f[A x B x C x … x X x Y x Z]
Examples of factors A to Z may include the contributions from individuals assigned to roles in functional groups such as engineering, testing, marketing, advertising, promotional efforts, and commercialization.
In the first equation, the hypothesis is that the contribution from one set of individuals adds to the value created by other individuals. Efforts are additive.
In the second equation, the same factors exist but the contribution factors are multiplied.
Implications
To determine which equation might provide better insights, I asked “What are the implications when the factor associated with ‘promotional efforts’ = 0 ?”
In the first equation, there will be a minor impact on the final value. In the second equation, when the promotional efforts factor has a value of zero, the total value will be zero.
The mistake I made
I realized that our project had system-level problems. The feedback regarding the promotional efforts was inadequate because the feedback was delayed. The lack of progress on promotional efforts was not sufficiently transparent.
I was in this situation because we out-sourced promotional efforts. We out-sourced promotional efforts because of precedents from prior projects.
In the next few hours, the seriousness of the problem became clearer. The project sponsor was furious. The sponsor signaled that t[...]