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Impact Filter is a focused decision method for quickly assessing product ideas by expected impact and concrete objectives. It consolidates value assumptions, success metrics and risks into a short template to derive clear options. Used in product discovery and stakeholder workshops to validate assumptions early. It fosters aligned communication and reduces d…
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Executable approach: can be applied and produces an outcome.
What organizes, connects, or makes decisions possible.
An impact filter is a decision framework that tests ideas by expected value relative to effort and risk.
It grew from prioritization and decision problems in product and innovation work, where many options must be compared across several criteria. The audit sources do not establish a single originator.
First define impact criteria, rate every idea on the same scale, and expose assumptions. Then sort by expected contribution and discuss outliers; the filter supports a conversation rather than producing objective truth.
It states how an option's expected contribution will be judged.
A shared scale makes different ideas comparable.
It shows what a estimate depends on and where uncertainty remains.
The filter helps teams focus discussion across many options and choose the next experiment. Subjective weights and missing data remain relevant; the method should not create false precision.
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