Attest supports a range of common research types, from testing ideas and creative to tracking brand health over time. This guide outlines the most common research approaches in Attest, what each one is best used for, and how they typically work in the platform.

Creative and concept testing help you understand which ideas, messages or assets resonate most with your audience before you commit budget or go to market. In Attest, there are two common ways to run these tests: monadic and sequential.

Monadic testing involves showing each concept, message or creative to a different group of respondents, then asking the same questions of each group. Because respondents only see one version, you can understand how each option performs in isolation.

This approach is commonly used for:

Start by creating a single survey and adding one audience for each concept or asset you want to test. It is best to duplicate your first audience, instead of adding a new one, to ensure that each group has the same country, language, sample size and demographic targeting. You can also choose a name for each audience.

Audiences within the same survey are automatically excluded from each other, so no respondent will see more than one concept.

In the survey editor, upload your media and customise it by audience. This allows each group to see a different image, video or message while answering the same set of questions.

Once responses are in, split your results by audience to compare performance. You can also use significance testing to identify differences that are statistically meaningful.

Sequential testing shows multiple concepts or creatives to the same respondents, one after the other. This allows people to directly compare options and explain preferences.

This approach works well when:

Create a single survey with one audience, as every respondent will see all concepts or creatives. Add each creative to the survey along with its follow-up questions.

To keep the experience balanced, group each creative with its related questions, then randomise the order of these groups. This reduces order bias while ensuring questions stay attached to the right creative.

Because all respondents see all options, sequential testing usually requires a smaller total sample size than monadic testing.

Brand tracking measures how your brand is perceived over time. It is typically used to track awareness, consideration, purchase intent and Net Promoter Score (NPS), and to understand how these metrics change across markets or audiences.

Unlike one-off studies, the value of brand tracking comes from consistency. Individual results matter less than the trends you see over time.

Start by creating a brand tracking survey with a consistent set of core questions that you plan to repeat over time. These core questions are what allow you to track changes in brand health, so it’s important to keep them stable between waves.

You can choose to run your tracker on a recurring schedule, such as daily, weekly, monthly or every few months. If you need more flexibility, you can also choose when to send each new wave yourself. This is useful if you want to make edits, respond to market changes, or add one-off questions alongside your core tracker.

You can also exclude specific questions from certain waves. For example, you might ask detailed brand perception questions every six months, while tracking awareness or consideration more frequently.

To avoid respondent fatigue, brand trackers use exclusive audiences. By default, respondents from the previous three waves are automatically excluded, helping ensure each wave is completed by fresh respondents.

As results come in, you can split your data by wave to compare performance over time and spot changes in brand health. Use the built-in statistical significance test to understand whether changes are meaningful, and set the comparison column to the previous wave for the most accurate results.

The research types covered here are some of the most common ways teams use Attest, but they are only a starting point. The platform supports many other use cases, from pricing and product development to audience profiling and campaign evaluation. In the platform you can find a range of ready-made survey templates covering common research goals. You can use these as they are, or adapt them to fit your needs.

Compass, our AI research copilot can also help you get started. By describing what you are trying to achieve in plain English, Compass can suggest a suitable research approach and help you set up your survey.

You can also speak to our in-house Customer Research Team via in-platform live chat. They can help you choose the right method, review your approach, and sense-check your survey before launch.