Value vs Effort Results

The results of comparing value and effort of your features. A higher score is better.

Problem to Solve

Value

Effort

Prioritization Score

if the CCID isn't unique to each choice, we won't be able to link the finalized item setup attributes for those styles to the correct choice rows in a MAP Buy

when current retail value is null in MDM, we pull original retail, which impacts our POs

I have more than 12 programs in my assortment

Would like to see a sum of the number of choices that are listed in the buy plan portion of MAP in the aggregations summary vs having to manually count and see if I have enough or have over-choiced.

I get an error when I try to add a choice and the vendor field is populated.

I use the group choices by function in every single buy plan, but it goes away when you get to the weekly receipts. Can we have it show up there + on the buy plan when you export into Excel?

Product attribute values don't tell me enough (dept, class, selling channel)

When a KP2 is not attached to a program, the calculation comparing KP2 to my buysheet is wrong

IMU subtotal calc is incorrect

Better attached KP2 indicator

Really annoying to have to open vary dates but scroll for days to try and manipulate the dates by cluster. Would rather open vary dates and have the column open as wide as it can.

As Read Only viewer, we cannot see the entire style name for the style. Hovering over doesn't show the style name and also cannot click on the style. We have to export to see what the style name is.

There are no rows in this table

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About Value vs Effort

The power of doing a simple value vs effort prioritization exercise is that it's incredibly fast, and it can quickly identify the big rocks in your feature backlog that should be done first.

Use it to identify the features with prioritization score that are orders of magnitude greater than the rest. If you see clusters or results that are similar, pull those features forward for more complex prioritization exercises to get a more fine-grained answer as to what you should work on next.

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Next: Try the

Purpose Alignment Model⁠

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