AI features can spark fear but also promise opportunity. In this playbook, Ryan Daly Gallardo, SVP of Product, Consumer at Dow Jones, reveals how her team turned skepticism into strategy. Learn how to test without eroding trust, embed cross-functional safeguards, and use evidence-based design to deliver AI features that improve engagement.
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Instead of letting skepticism paralyze innovation, see how Dow Jones turned doubts about AI-generated summaries into testable hypotheses. Learn how to transform concerns into measurable questions that help your team make smarter product decisions.
Go behind the scenes of how product, editorial, and data science teams worked hand in hand to design features that preserved journalistic integrity.
Dow Jones ran controlled A/B experiments to measure how new AI features actually affected engagement. Learn how to set up clean experiments, what metrics to track, and how to interpret results.
Numbers only tell part of the story. See how Dow Jones combined quantitative tests with direct reader feedback to uncover perceptions and hidden risks.
Refine features thoughtfully, serving different user needs while protecting your brand promise, so your AI products improve continuously instead of stagnating.
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