"We agree that many organizations claim to be data-driven when they are actually seeking data to support political decisions.”
Scoring pros and cons ← Lombardo, C. Todd,McCarthy, Bruce,Ryan, Evan,Connors, Michael. Product Roadmaps Relaunched (p. 180)
Cons | Pros |
---|---|
Scoring lots of little features or requests could provide a false sense of confidence or progress. | Scoring items being considered anyway forces discussion of the underlying problems and the value of solving them. |
Simple scale misses finer differences. | Simplicity keeps teams from arguing over unimportant details. |
Keeping to a few goals misses important factors that should be considered. | Forcing teams to narrow down to a few goals forces them to face the reality that they can’t do it all. |
Scoring models do not include intangible factors such as generating “buzz” or level of “innovation.” | Objective criteria supports a more rational and open discussion of trade-offs. |
Scoring models do not include dependencies, resource availability, or promises made to key customers, the board, Wall Street, and so on. | Scoring models uncover where resources and promises do not align with priorities. |