Lensym News & Updates
Product updates, survey best practices, and research insights from the Lensym team
4 Free Survey Research Calculators (No Signup Required)
Free tools for sample size, margin of error, response rate, and survey length estimation. Built for researchers, students, and practitioners who need quick answers with transparent methodology.
Visual Survey Design: Why Linear Forms Break at Scale
Linear survey builders work until they don't. Here's why complex surveys need visual, graph-based design, and what happens when you try to scale logic in a list.
Free Sample Size Calculator for Surveys (Academic-Grade)
Calculate the sample size you need for your survey using Cochran's formula. Includes finite population correction, clear assumptions, and guidance on when calculators don't tell the whole story.
Survey Question Design: How to Write Questions That Get Honest, Useful Answers (2026)
A comprehensive guide to writing survey questions that minimize bias, maximize clarity, and produce data you can actually use. Includes question types, wording principles, and a pre-launch checklist.
Survey Randomization: When It Helps, When It Hurts (2026)
Randomization reduces order bias but applied carelessly creates noise, breaks logic, and confuses respondents. Learn when to randomize questions, answer options, and blocks, and when to leave things alone.
5 Survey Questions You Should Never Ask
These common survey questions look fine but systematically destroy your data. Here's what's wrong with each and what to ask instead.
How Long Should Your Survey Be? The Real Answer (2026)
Survey length isn't about question count. It's about cognitive load, relevance, and respect for respondent time. Here's how to find the right length for your survey.
When Surveys Are the Wrong Tool (And What to Do Instead)
Surveys aren't always the answer. Here's when interviews, behavioral data, or simply waiting beats sending another questionnaire.
Survey Response Rates: Why Benchmarks Mislead (And How to Interpret Yours)
Response rate benchmarks don't tell you if your data is good. They tell you if it's unusual. Here's how to actually evaluate whether your response rate matters.
Survey Validity vs Reliability: What They Mean and How to Design for Both (2026)
Understand the difference between validity and reliability in surveys, why they're constantly confused, and how to design surveys that are both accurate and consistent.
Survey Bias: Types, Examples, and How to Reduce Bias in Practice (2026)
Learn the 7 survey biases that actually matter, how design choices create them, and practical fixes you can implement today. Includes a pre-launch bias checklist.
Survey Branching Logic: A Complete Guide for Researchers (2026)
Master survey skip logic, display logic, and conditional branching. Learn when to use each type, avoid common mistakes, and build surveys that respect respondent time while capturing quality data.
Pilot Testing Surveys: What to Test (and What Testing Won't Fix) (2026)
Pilot testing catches usability issues. It doesn't validate your constructs. Learn the difference between cognitive interviews, soft launches, and expert reviews, and know what each method actually reveals.
Survey Sample Size: Why More Responses Doesn't Mean Better Data (2026)
Sample size reduces random error. It doesn't fix bias, bad constructs, or poor design. Learn how to calculate the right sample size and avoid the 'more is better' trap.
GDPR-Compliant Surveys: A Practical Guide for Researchers (2026)
A research-grade guide to GDPR for surveys, what the law actually requires, native vs. retrofitted compliance, common pitfalls, and a ready-to-use checklist.
Why We're Building Lensym
We're building Lensym, a survey research platform that doesn't force researchers to choose between methodological rigor and usable design. Research-grade tools that respect both data quality and the humans collecting it.