Silent failure in AI features

AI features don't crash — they return plausible answers that are quietly wrong. Why survey scores can look great while users leave, why thumbs up/down misses the failures that matter, and how to build the review loop that catches silent regressions before they cost you a customer.

Article10 JUN 2026

Why AI features fail: the silent failure problem

Only 7.8% of teams say their shipped AI features delivered measurable impact. Why AI features fail silently, why teams don't notice, and how to catch it before users leave.

Madalina Turlea

Article26 MAY 2026

How to know your AI feature actually works in production

Most teams ship AI features and wait for complaints. Here's how product managers can know — not hope — their AI is working in production.

Catalina Turlea

Newsletter03 MAY 2026

Why ship and learn just does not work for AI features

Why the traditional 'ship and learn' approach fails for AI features.

Madalina Turlea

Newsletter31 MAR 2026

Why your AI evaluation is lying to you

Why most teams automate AI evaluation before understanding what they're evaluating — and the step-by-step approach that actually works.

Madalina Turlea

Article15 JAN 2026

Why 90% survey satisfaction and 40% churn can coexist

Your AI feature scores high on satisfaction surveys but users keep leaving. Here's why silent AI failures hide behind good survey numbers.

Madalina Turlea

Article15 JAN 2026

Your AI always returns an answer. That's why you can't trust it.

AI features never throw errors — they just quietly get things wrong. Here's how product managers catch silent failures before users lose trust.

Madalina Turlea

Article15 JAN 2026

What thumbs up/down feedback actually tells you about your AI feature

Thumbs up/down feedback on AI features measures user sentiment, not output quality. Learn what binary feedback misses and what to measure instead.

Madalina Turlea

Article15 JAN 2026

The silent failure loop: how you lose users without a single complaint

AI features don't fail loudly. They fail silently — and users leave before you notice. Here's how product teams break the loop.

Madalina Turlea

Article15 JAN 2026

Why shipping a mediocre AI feature is worse than shipping nothing

A mediocre AI feature doesn't just underperform — it erodes trust, trains users to ignore you, and poisons every AI feature you ship next.

Madalina Turlea

Article15 JAN 2026

What does "the AI is working" actually mean?

Most product teams can't define what 'working' means for their AI feature. Here's the definition that separates shipping with confidence from Ship and Pray.

Madalina Turlea

Article15 JAN 2026

AI always returns something, and that is the problem

AI never fails completely — it just returns plausible answers, sometimes wrong. Why ship-and-hope traps teams, and what real iteration on a prompt actually looks like.

Madalina Turlea

Article15 OCT 2025

3 mistakes that make your AI feature a silent churn machine

Most AI features don't fail loudly. They quietly underperform while users quietly leave. Here are the three mistakes driving silent churn.

Madalina Turlea

Article15 OCT 2025

The 4 most expensive AI evaluation mistakes (and the tender that died)

Four AI evaluation mistakes that cost product teams real money — from blown model selection to a million-euro tender lost to silent failures.

Madalina Turlea

Article15 OCT 2025

4 mistakes that turn a mediocre AI feature into a user trust killer

Most AI features don't fail loudly. They quietly erode trust. Here are four mistakes product teams make that turn mediocre AI into a reason users leave.

Madalina Turlea

Article13 OCT 2025

5 mistakes product teams make when shipping AI features

Product teams keep making the same five AI shipping mistakes. Here's what they are, what they cost, and how to fix each one before users find out.

Madalina Turlea

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