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Elena Verna: Feature discovery may decline as AI selects capabilities

Elena Verna suggests that as users become more adept at stating their goals, software will increasingly select the appropriate capabilities, potentially diminishing the importance of traditional feature discovery. She estimates that only a small fraction of users, around 0.1%, actively adopt new features. Verna posits that building trust is the critical challenge, which she defines as enabling users to undo actions, providing audit trails, and offering dry runs, all of which require significant engineering effort. AI

IMPACT Suggests a shift in user interaction with software, potentially impacting product design and user experience as AI takes a more active role.

RANK_REASON Opinion piece by a named credible voice.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Elena Verna: Feature discovery may decline as AI selects capabilities

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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · meysam81 ·

    Elena Verna, 5 Nov: feature discovery may fade as users state goals and software chooses the capability. Her estimate is that "maybe 0.1%" of users adopt added

    Elena Verna, 5 Nov: feature discovery may fade as users state goals and software chooses the capability. Her estimate is that "maybe 0.1%" of users adopt added features anyway. The hard part becomes trust. My read: trust means undo, an audit trail and a dry run. That's engineerin…