This risks getting into the Fisherian/Bayesian stats wars again, but it would be possible to project a revenue gain, even in advance of making the change. You'd do this in terms of improved customer retention, lower cost of future customer acquisition, increased price a Teams license could sustain based on a rep for higher reliability, etc.
Obviously it's not a change that you'd be able to pin a specific human decision-maker (who was marginal on Teams) down as to this change being the difference between a sale or not, but nor is the change in revenue going to be a random number uniformly distributed in (-∞,∞).
If the change was revenue-neutral, the skip level would probably have been justified in seeing if the teams working that project could have found something to do customers actually care about instead.
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