Myth: High review scores mean a tool will work for you
The shortlist method: sort by G2 rating, pick the top. The correction: review scores are gamed by incentives and skew toward easy-to-adopt tools, not the ones that fit your specific data shape and team maturity.
— A thread on reading reviews by your use case, not the aggregate star count.
— A piece on evaluation rigor — reference checks beat review averages.
— A template for a structured trial with pass/fail criteria you set first.
— A list of questions to ask reference customers that reviews never cover.
Skip if you've already run a scoped trial. Essential if your shortlist came from a leaderboard.
That's the stack for this week. Forward to a teammate.
Stack Curator
@StackCurator
Myth: High review scores mean a tool will work for you
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