Scaling UX Research: Surveys, Web Analytics, and A/B Testing — PickAClass
3.8 (4) ⏱ 2h 54m 📚 29 lessons 🎧 Audio version

Scaling UX Research: Surveys, Web Analytics, and A/B Testing

Master quantitative user research methods to gather insights from thousands of users through surveys, web analytics, and remote A/B testing.

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About this course

As digital products grow, relying solely on qualitative interviews is not enough to understand your entire user base. To make confident product decisions, you need to know how to gather and interpret user data at scale. This course guides you through the foundational principles of quantitative UX research. You will transition from understanding basic user behavior to designing statistically sound surveys, analyzing web traffic, and setting up remote usability tests that yield actionable insights. What you'll learn: - Understand the core terminology and methodologies of quantitative UX research. - Design and launch effective surveys that minimize bias and capture genuine user attitudes. - Analyze web analytics and event-based tracking to uncover how users navigate your product. - Configure and interpret A/B tests to validate design changes with statistical confidence. - Apply privacy-first research practices to ensure user data collection complies with modern standards. - Synthesize quantitative datasets into clear, actionable recommendations for product teams. You will begin by mastering foundational UX measurement concepts before moving into practical written exercises on survey design, telemetry analysis, and online testing workflows. This course is designed for beginner UX researchers, product managers, and designers looking to expand their analytical skill set, with no prior statistical or programming experience required. Start learning how to back up your design decisions with robust, large-scale user data today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 54m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

P
PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Scaling UX Research: Surveys, Web Analytics, and A/B Testing
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Scaling UX Research: Surveys, Web Analytics, and A/B Testing
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (4)

Léo Martin LU Verified learner
★ 3 · July 25, 2026

Thoroughly enjoyed this course. The way the information was presented was excellent, and the practical applications were highlighted effectively. Great job!

Matthew Rodriguez NZ Verified learner
★ 3 · July 21, 2026

This was a really enjoyable learning experience. The content flowed well and the practical application advice was top-notch.

خالد عبد العزيز EG Verified learner
★ 5 · July 2, 2026

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

Selamawit Amarech ET
★ 4 · June 5, 2026

Wow, what a great learning experience. The real-world applications discussed were so relevant. I'm already applying what I learned.

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