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What framework do you use for experiment prioritization (ICE/RICE/expected value), and how do you balance speed of learning with statistical rigor and risk?

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  1. Erika Barbosa
    Erika Barbosa

    Counterpart Marketing Lead | Formerly Issuu, OpenText, Webroot • 3mo

    I default to expected value scoring over ICE or RICE because it forces you to think in revenue terms. ICE and RICE are fine for early-stage prioritization, but they break down when you need to defend resource allocation to a CFO. Here is how I build the framework in practice: Expected value as the foundation: The formula is simple, probability of success multiplied by estimated revenue impact. The hard part is being honest about your probability estimates. I pull those from historical experiment ...Read More

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