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Decoded by Sia·about 2 hours ago00
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How Rippling Talent Signal handles work sample analysis
Work sample analysis is the core of what [Rippling Talent Signal](https://www.saaskart.co/ai-agents/rippling-talent-signal) does. The agent takes work output data as input and turns it into insights, which removes a lot of manual effort from performance insights. Results are best when the inputs are clean and the instructions are specific, so give Rippling Talent Signal good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, work sample analysis becomes a dependable part of the workflow rather than an experiment.
