MT

Monadic Test

The Monadic Test is an experimental method that exposes respondents to individual stimuli to allow for focussed testing of products and packages. Monadic Test are best used when asking respondents multiple questions about many concepts or products. Monadic testing is used for:

  • Finding consumer attitude towards potential product concepts
  • Testing attitude towards different packaging
  • Rating concepts on several different attributes

Main outputs of the Monadic Tests

Table of outputs for each question:

Table of outputs for each question:

Summary metrics for each question included in the monadic for each stimulus for easy comparison.

At-a-glance summary allowing for quick comparison between stimuli with the option of drilling down into detailed metrics of any question for any stimulus.

Detailed question output for a particular stimulus:

Detailed question output for a particular stimulus:

Displays detailed outputs for an in depth look into responses for a particular question.

With Conjointly, we provide detailed statistics into each question for each stimulus if you are interested in the nitty gritty details such as distribution of responses, medians, ranges.

Segmentation of the market

Segmentation of the market

Find out how preferences differ between segments.

With Conjointly, you can split your reports into various segments using the information collected automatically by our system, respondents' answers to additional questions (for example, multiple choice), or GET variables. For each segment, we provide the same detailed analytics as described above.


How to set up a Monadic Test on Conjointly

Select Monadic Test and create a list of stimuli

Step 1

Select the Monadic Test experiment type from the list of experiment types and create a list of stimuli. You can Import a text list or type it in manually to populate the initial list of stimuli.

Add, remove, or modify the views for each stimulus

Step 2

Add, remove, or modify the views for each stimulus. Views allow you to insert different representations of the concept in the diagnostics question. You can add images, long descriptions, use fancy formatting and lots more.

We strongly recommend that you also include your best-selling product, the best-selling product in your current market, and the best-selling product of your top competitor to benchmark your concepts against products already on the market.

You will see all your stimuli displayed as columns by default. If you have a long list of concepts and only a few views, you can flip around the table to display stimulus as rows instead of columns.

Edit questions

Step 3

Customising the rest of the experiment by adding, removing or modifying the questions inside the monadic block. You are given complete control over the type of monadic testing your experiment will run.

To modify the questions that will be asked of respondents, you can adjust the questions found in the Monadic block section. To add questions to this block, simply drag and drop any of the additional question types into the Monadic block.

Edit survey flow

Step 4

Modify the following parameters to change the flow of the survey:

  • Randomise order of questions allows the system to vary the order of the questions inside the monadic block in order to reduce respondent bias.
  • Maximum number of questions to display per respondent lets you control the survey length by limiting the number of questions for each respondent.
  • Maximum number of stimuli per respondent helps you get more detailed feedback for each concept without introducing survey fatigue.
  • The sequence generation order setting lets you determine whether the stimuli sequence is generated before or after the display logic for stimuli is resolved. Resolving display logic first is recommended to prevent respondents from seeing fewer or no stimuli.
  • Sequence of questions lets you choose between sequential testing and random monadic.
Preview and launch your survey

Step 5

Preview the survey as a participant to test your setup and prepare to launch.

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