Insights for teams who act on what they hear
Practical writing on survey design, customer and employee feedback programs, and research methodology — plus a running record of what AI actually changes about this work. No fluff pieces; everything here is meant to be used.
The Agent Glass Ceiling: Your Survey Tool Has an API. Your Agent Still Can't Use It.
We audited our own product: 86 things a human can do in the UI, ~15 an agent can do through the API. Naming the invisible limit every 'we have an API' claim hides — and what human-agent parity actually requires.
25 Employee Engagement Survey Questions That Work (and the 25 to Cut)
Every question list gives you fifty questions and no warnings. Here are 25 vetted questions organized by driver category — and the 25 popular ones that quietly wreck your data, grouped by exactly how they fail.
Survey Completion Rates Across 400,000 Real Surveys: What Actually Moves Them
We pulled real completion-rate data instead of repeating industry folklore. Completion falls off a cliff between 15 and 16 questions, most abandonment happens before the halfway point, and mobile only falls behind desktop on long surveys.
How Long Should a Survey Be? Response Rate Data and a Decision Rule
We pulled completion rates for 400,050 real survey responses. Completion falls off a cliff between 15 and 16 questions — here's the full data, the decision rule, and the test that tells you which questions to cut.
Mobile-First Survey Design: A Practical Guide for 2026
72.3% of real SurveyRock responses now come from a phone, and rising. The question types to stop using on mobile, the 5 design rules that matter, and how to preview properly before sending.
What Is a Likert Scale and When Should You Actually Use One?
A Likert scale is the most common survey question type — and the most overused. Here's when it's actually the right tool, when it isn't, and the four mistakes that quietly ruin the data.
When Should You Actually Use a Likert Scale? (And When You Shouldn't)
The Likert scale is the most common survey question type — and the most overused. When it's actually the right tool, when it isn't, and the four mistakes that quietly ruin the data.
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