we’re rolling out the latest and last addition to our list question types in Helio, Point Allocation! Adding Point Allocation to Helio was a natural next step because it aligns so closely with Ranking. Point Allocation and Ranking both are powerful quantitative question types that give you a strong idea of how your audience prioritizes certain ideas over others.
What differentiates Ranking from Point Allocations is how a participant places value to an item. Instead of ranking items based on preference, they’re allocating points, dollars, or time for a specific purpose so you can tell the relative difference in importance between your ideas. Here are our tips on how to hop in and start using Point Allocation when learning from customers.
- Assess quantitative value or time. Point Allocation is superb for understanding how customers perceive how much items cost or how much time a participant spends completing certain tasks. Knowing this kind of quantitative data can help teams understand where your customers are willing to spend their time or hard-earned money.
- Limit your categories. Too many choices in a survey is overwhelming to participants and will skew data. We recommend limiting the choices used in Point Allocation questions to no more than 7 items. If you find that you have more than 7 items you can use a test to narrow down your choices to the most important ones: we recommend a Ranking or Multiple Choice questions to do so!
- Keep items categorized. To ensure your data isn’t skewed, it’s important to make sure your items are different enough that they don’t overlap. If you’re asking how much money someone is willing to spend on a collared shirt versus a dress shirt, your data could be affected because of the perceived similarities of the two items.
We’re very excited to bring the last of the list question types out into the wild! We’d love it if you gave Point Allocation a try when figuring out how much time, money, or points a customer is willing to invest in your product!