Likert scale: 5 vs 7 points, which one to pick
The classic Likert scale has 5 points, but 7 is just as common in academic and market research. Neither one is "the correct" choice in the abstract — the difference comes down to how fine a distinction you need to measure, and how much cognitive effort you're asking of the respondent.
What the 5-point scale gets you
It's faster to answer because there are fewer options to weigh, which reduces cognitive load and abandonment in longer surveys. For most satisfaction or agreement measurements, five categories (Strongly disagree, Disagree, Neutral, Agree, Strongly agree) are enough to capture the real variation in how people think.
What the 7-point scale gets you
It offers more granularity for detecting subtle differences between groups or over time, which matters in academic research or when you need to compare average scores with statistical precision. The cost is that it asks the respondent to distinguish between nuances they often don't have that clearly in mind ("moderately agree" vs. "agree" is a distinction that's hard to apply consistently).
Why to avoid an even number of options
A 4- or 6-point scale removes the neutral midpoint and forces the person to lean one way even without a formed opinion. That doesn't improve the data — it distorts it, since it mixes genuinely neutral responses with responses that do have a real lean, with no way to tell them apart afterward.
How to choose in practice
If the survey is long or the audience tends to answer quickly from their phone, 5 points reduces friction without losing too much information. If the survey is short, the audience is invested in the topic, or the later analysis needs to compare averages across segments with precision, 7 points justifies the extra effort. In SurvIQ, the rating editor lets you pick the scale length (3, 5, 7, or 10) with one click, so switching between them doesn't mean rebuilding the question.
What doesn't change based on the length you pick
Whatever length you pick, keeping the same scale across every related question in the same survey is what lets you compare results between them directly. Mixing a 5-point question with a 7-point one within the same topic block makes the averages not comparable to each other.