Use a sufficient sample size.
Depending on target sample for survey, we recommend a sample size of 100 respondents per concept, but you will get stat-tested results with as few as 50 respondents per concept.
Give your concepts easily identifiable and descriptive titles.
In the concepts page, be sure to give your concepts titles that are easily identifiable and descriptive, especially if you plan to leverage the raw data export. Some visualizations for monadic results won't include your concept stim, so it's important to be intentional with your concept titles.
Include a benchmark concept.
With Suzy, you can test up to 10 concepts at once and you're not charged more for testing more concepts, so we recommend including a benchmark concept whenever possible. You can use an existing, well-performing product or idea of your own, or you can use a competitor's well-performing product or idea. This allows you to better judge your concepts’ overall performance and provides a reference point on how your new concepts stack up against current products in the market.
Consider using a concept card format.
A concept card often incorporates either text, imagery, or both to convey their concept with respondents. This format is a great way to show stimuli for monadic tests.
✔ Keep text short and simple
✔ Use consumer-friendly language
✔ Make sure the need-to-know information is prominent
✔ Ensure any visual components are high-resolution
✔ Make sure font size is appropriate for respondents on both mobile and desktop devices
✔ Use a vertically-oriented concept card template to accommodate both mobile and desktop respondents
Use a 7-Point scale for rating concept questions.
When creating your monadic test, you have the option to set your rating concept questions as 5-point or 7-point rating scale. We recommend using a 7-point scale to allow for more nuanced responses from your audience.
Customize the metrics for rating concept questions.
If the built-in metrics (appeal, purchase intent, relevance, uniqueness, etc.) don’t quite match the KPIs you want to measure with your monadic test, you can add custom metrics and rating scales to match your research goals.
Add a forced choice question in the post-concept question block.
It's often helpful to add in a multiple choice question in the post-concept question block, where you present all your concepts to respondents and ask them to choose a favorite. This acts as a tiebreaker should 2+ of your concepts perform similarly and you still want to identify a winner. You can also follow this question up with a text open-end to understand why respondents chose the concept they did.