Design

AI pattern detection and post-launch UX metrics analysis

AI analyzes product analytics, behavioral data, and other user signals to surface funnel drop-off, frustration patterns, feature adoption trends, retention shifts, and segment differences that can inform UX decisions more quickly than manual review.

Why the human is still essential here

Designers remain responsible for interpreting causality, adding organizational context, asking better questions, and deciding which changes are ethical, useful, and worth prioritizing.

How people use this

Funnel drop-off diagnosis by segment

Query analytics to compare where specific cohorts drop in a funnel and get a concise explanation of likely UX friction points to investigate.

Amplitude / Claude

Retention analysis with plain-language readout

Ask AI to summarize week-over-week retention changes and highlight which behaviors correlate with improved retention for a redesign hypothesis.

Mixpanel / ChatGPT

Feature adoption trend monitoring

Generate a weekly narrative summary of adoption, activation, and key events and link takeaways back to recent UI changes and releases.

Google Analytics 4 / ChatGPT

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Related Prompts (4)

Latest community stories (2)

Opinion
LinkedIn

Does UX still matter β€” or is AI making us obsolete?

Does UX still matter β€” or is AI making us obsolete?

AI generates layouts in seconds. Writes microcopy on demand. Analyzes user data faster than any research team.


So why do we still need UX designers?


Here's what AI already does better than you:

β†’ Generate 5 layout variants in 30 seconds

β†’ Write 10 error message alternatives on command

β†’ Summarize 15 interview transcripts in minutes

β†’ Spot patterns across thousands of data points


Impressive. But here's what AI can't do:

Empathy isn't computable. AI does sentiment analysis. It can't sense why a 63-year-old goes silent during a usability test β€” not from confusion, but from shame.


Context has no data model. AI doesn't know your CEO said "mobile-first" because he got a new iPhone. It doesn't know your engineering team is burned out and every design change is political.


Ethics require conviction. AI optimizes for whatever goal you set. If that goal is "more clicks," it will suggest dark patterns without blinking. A designer asks: Should we?


Saying no is a skill. AI always delivers an answer. Even when the right answer is: We're solving the wrong problem.


The designers who thrive aren't the ones pushing pixels. They're the ones asking questions before designing answers.


AI makes you faster. It doesn't make you smarter, more empathetic, or braver. That's still on you.


I've packed everything I've learned in 24 years of design into one interactive platform β€” methods, tools, Nielsen's 10 heuristics, a glossary, and a section on how to actually use AI in your UX workflow.

β†’ https://lnkd.in/gHT-zJ44

#UX #AI #ProductDesign #UserExperience #DesignLeadership

RT
Roger TedoldiUX Designer at Swisscom
May 6, 2026
Medium

How I Use AI to Scale Design Impact

AI didn’t change what I design. It changed how I design.

Over the past several months, my design process hasn’t just evolved β€” it’s been fully restructured. My AI tool stack isn’t something I use occasionally; it is an operational layer embedded into my day-to-day and across discovery, ideation, prototyping, validation, and delivery.


This article outlines how I structure projects using AI models β€” primarily Claude and ChatGPT β€” alongside specialized tools such as Figma Make and Amplitude.

YG
Yuliia GalytskaProduct designer
Feb 27, 2026