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Have you received user feedback regarding the AI features, and how are you incorporating it into product improvements?

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3 Answers
AI Product Management
  1. Anushka Anand
    Anushka Anand

    Salesforce Director of Product Management, Tableau Next • 2mo

    We use thumbs up/down signals as a lightweight always-on feedback layer, but the real signal comes from betas and pilots with targeted customers before broad rollout. That direct feedback loop early is how we tune AI features before they're in everyone's hands. The most consistent theme we hear: users want the AI to know their world — their data, their process, their requirements. Generic intelligence isn't enough. The feedback keeps pushing us toward more customization and control. The more an ...Read More

    590 Views
  2. Hiral Shah
    Hiral Shah

    DocuSign Director of Product Management • 2y

    Getting user feedback is a very important element of building any AI feature. Without the user input, you cannot improve your AI, which means you cannot improve your product. Treat the AI feature similar to any product feature, you need to be nimble, agile and adaptable. There are a number of ways you can gather this feedback and depending on that you can incorporate it in many different ways In feature feedback: Think about this as the thumbs up or down you do on your chatGPT or ask it to re-ge ...Read More

    2,052 Views
  3. Shruti Tiwari
    Shruti Tiwari

    Principal Product Management, AI/ML • 1y

    Yes, we incorporate user feedback to improve the model and reduce drift over time. There are several ways to gather feedback: 1. Direct user feedback through thumbs-up and thumbs-down ratings. 2. User override rate – measuring how often users override AI-generated suggestions. 3. Tracking drop-off points where users disengage from the AI feature. 4. User support tickets – identifying recurring issues raised by users. To incorporate feedback, we analyze failure points to determine the root cause. ...Read More

    223 Views

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