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:
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:
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
Find out how preferences differ between segments.
With Conjoint.ly, 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 Conjoint.ly
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 stimuli. 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.
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.
Modify the following parameters to change the flow of the survey:
- Randomise 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.
- Sequence of questions lets you choose between sequential testing and random monadic.
Preview the survey as a participant to test your setup and prepare to launch.
Complete solution for pricing research
Feature and claim selection and measuring willingness to pay for features for a single product.
Feature and claim selection and pricing in markets where product characteristics vary across brands, SKUs, or price tiers.
Test pricing of new and existing consumer goods in a competitive context using elasticity charts, revenue, and profitability projections.
MaxDiff analysis for robust ranking of flavours of your product by consumer preference; or usage occasions by frequency.
Determine price elasticity for a single product and identify revenue-maximising price level.
The Price Sensitivity Meter helps determine psychologically acceptable range of prices for a single product and approximately estimate price elasticity.
Perform focussed comparisons between two items to determine which performs better.
Test the effectiveness of your advertisements using a comprehensive research method
Test the effectiveness of your digital advertisements in an online environment
Compare performance of concepts or products through thorough testing on several metrics.
Conduct automated TURF analysis on any dataset using Conjoint.ly’s user-friendly TURF analysis tool.
Allowing advanced choice modellers to upload their own experimental designs and perform data collection on Conjoint.ly.
Track consumer attitudes and perceptions on regular basis in the USA, UK, France, and Spain in a timely and cost-efficient manner.
Fully-functional online survey tool with various question types, logic, randomisation, and reporting for unlimited number of responses and surveys.