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How do PMMs use AI for Research?

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3 Answers
  1. Dayna Shoemaker
    Dayna Shoemaker

    Fivetran Director, Product Marketing • Wed

    I think about AI the same way I thought about Wikipedia in university — a great starting point, but never the final answer. AI is genuinely useful for quickly building broad understanding:  a new market common buyer pain points a first-pass competitive landscape themes across customer calls But the real PMM work starts after that. You have to validate what AI gives you, pressure-test it, and make it specific to your business and market position. Two mistakes I see: people treat all LLMs as inter ...Read More

    178 Views
  2. Elizabeth Baier
    Elizabeth Baier

    Okta Senior Manager, Product Marketing, Okta Emerging Products • Wed

    For me the highest-leverage use cases in order: 1. Internal knowledge synthesis. This is underrated. Most companies have enormous amounts of relevant context locked in Confluence pages, Slack threads, past decks, and deal notes. AI that can work across those sources is more useful to me than any web search. I use Claude connected to my internal systems now and it's how I do most of my market and product research day-to-day. 2. Rapid market + competitive framing. For a new product area or analyst ...Read More

    300 Views
  3. Raman Sharma
    Raman Sharma

    Confluent Product Marketing Leader (Microsoft / DigitalOcean / Sourcegraph / Confluent) • 2h

    Use deep research to produce condensed reports on new areas.

    Upload relevant materials or ask AI to search the web, then get a 10-page report that condenses weeks of research into hours.
    1 Views

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