Need & Market
Market Research
The basic strategy is:
Be agnostic to numbers.
Don't let yourself inflate numbers because you hope them to be large/small.Iterate with the scientific method.
Decide on a hypothesis, figure out the answer with experimentation (such as asking knowledgeable people), analyze results, and iterate.Refine metrics as you learn.
Just like a product or service iterates through a alpha, beta, and full release, your market research should evolve to become more mature.
You'll be chasing after a few metrics that prove that there's enough value surrounding your problem/solution. Here are 9 of those:
This is from the PowerPoint attached. It was prepared by the BALSA Group, and will help you figure out the basics.
Problem Statement
A problem statement instills the essence of a demonstrated need from a potential customer that leads product/market/business development.
Or
The one sentence to describe what kind of specific challenge someone wants to fix.
Context:
The process of innovation can be over simplified in these steps:
Voice of customer -> need/problem statement development -> concept development
It’s easy to develop a concept that addresses a need and a set of requirements.
But its difficult to understand and instill a need that a customer has communicated.
Characteristics of a good Problem Statement:
Free of solution
Free of bias
Concise -> one sentence
No assumptions, inferences, or any forms of judgment
Bonus: Incorporates metrics of the problem and desired change
Problem Statement "Formula":
Who has the problem, what is the problem, what are the constraints/ necessary details?
Tips:
Focus on what change or outcome is required, not how the change is accomplished
Embrace need statement development as a commitment: “a well defined problem is half the solution”
Goal is to establish the need as broadly as possible, while keeping it linked to a specific, verifiable problem
Common Mistakes:
Embedding a solution within the need
In response to 1, inappropriate definition of scope (making it too broad)
Over-generalization