Read the equation
The Message component assigns a numerical quantity p_i to each pain point and multiplies it by an emotional weight w_i. Adding those products produces M, an additive score: each term contributes independently according to its weight, with no interaction term shown. The neighboring condition makes the weights sum to one. If the weights are also nonnegative, M is a weighted average lying between the smallest and largest pain-point quantities. The poster does not state that additional sign restriction or define the measurement scale of a pain point.
Its role in the build
The MADDIE Equation — Client Conversion Formula
Terms & definitions
| Term | Meaning in this source |
|---|---|
| M | Message score in the MADDIE framework. |
| p_i | Pain-point quantity for item i; it is not an outcome probability in this component. |
| w_i | Emotional weight assigned to pain point i. |
| i | Pain-point index. |
| n | Number of pain points included in the sum. |
| Σ | Addition of the weighted pain-point contributions. |
How it works
Identify the n pain points and the numerical quantities p_i used to represent them.
Multiply each p_i by its corresponding emotional weight w_i.
Add all products w_i·p_i to obtain M, using the neighboring weight-normalization condition where applicable.
Assumptions & limits
The image does not specify how pain points or emotional weights are measured.
A sum of weights equal to one does not establish nonnegative weights; the weighted-average range requires that additional condition.
Original context
Read the surrounding source passage
The MADDIE Equation — Client Conversion Formula: Forms message from weighted pain-point quantities.
Exact original notation
M = Σ_{i=1}^{n} w_i · p_iRelated builds
Sources & provenance
M = Σ_{i=1}^{n} w_i · p_i