Choosing the right logic for your personality test
Personality tests determine results by assigning and accumulating points based on participant answers.
You can choose between Most Points logic and Interval logic from game settings.
Choosing the right one depends on the structure and goals of your test:
Most Points logic: Use for unrelated outcomes.
Interval logic: Use for continuous or precise scoring.
Each of these serves a unique purpose: Most Points logic identifies a single top result, ideal for product recommendations or scenarios with diverse, unrelated outcomes. Point Interval logic organizes results into ranges or scales, ensuring one outcome per interval, perfect for skill levels or product categories. This article explains how each logic works and when to use them.
Plan your personality test thoroughly to ensure a seamless participant experience and accurate results. With the right logic in place, your personality test will provide meaningful insights for both participants and creators.
Understanding ‘Most points’ logic
Most Points logic assigns results based on the outcome with the highest accumulated points. This method is ideal when the outcomes (personalities) are unrelated or not part of a range or scale.
When to use Most Points logic
This logic works well for:
Usually used as a kind of “Product selector”, such as skin care routines or vacation destinations.
Situations where multiple unrelated results are possible, e.g., different travel styles or culinary preferences.
Example: Vacation selector personality test
Imagine a test to determine a participant’s ideal vacation destination. With the personalities of Paris, Vancouver, Grand Canyon, and Faro.
Here's how you could set up the scoring:
Questions | Answers | Points rewarded to personality |
How would you like to spend your vacation? | Shopping |
|
| Museums |
|
| Hiking |
|
| Relaxing in the sun |
|
Your ideal destination would be: | Tried and true, a popular destination |
|
| Off the beaten track, less touristy |
|
I'd prefer my destination to be | In North America |
|
| In Europe |
|
| Either is fine with me | No points awarded |
If the player answers:
Shopping
Tried and true, a popular destination
In Europe
The points will be assigned as follows:
Shopping: awards 1 point to Paris and 1 to Vancouver
Tried and true: awards 1 point to Paris and 1 point to Grand Canyon
In Europe: awards 1 point to Paris and 1 point to Faro
Questions | Answers | Points rewarded to personality |
How would you like to spend your vacation? | Shopping |
|
| Museums |
|
| Hiking |
|
| Relaxing in the sun |
|
Your ideal destination would be: | Tried and true, a popular destination |
|
| Off the beaten track, less touristy |
|
I'd prefer my destination to be | In North America |
|
| In Europe |
|
| Either is fine with me | No points awarded |
Totalling the points distribution as following:
Paris: 3
Vancouver: 1
Faro: 1
Grand Canyon: 1
And thereby the personality with most points will be "Paris".
Note: In scenarios where a user could end up with the same amount of points for several personalities the platform will choose the first on the list, in our example in case of a tie between Paris and Vancouver that would be Paris.
Weighting points in Most Points logic
If you want to give more weight to certain answers or questions in the test, you can assign a higher number of points to those answers. You also have the option to assign negative points if you want an answer to decrease points for certain personalities. However, we recommend assigning 1 point per answer per personality unless your setup has been specifically designed to account for different point values. Assigning disproportionately high points to a single question or answer (e.g., 5 points per personality on the first question) can skew the results significantly, as it impacts the overall balance of the scoring system. You can read more about weighing points in this article.
Understanding ‘Point Interval’ logic
Interval logic determines results based on a point range or scale. Each result corresponds to a specific interval (e.g., 10–20 points), ensuring that the total score falls into a predefined category.
Interval logic is ideal when:
Results are arranged on a range or scale (e.g., skill levels or product tiers).
The scoring needs to ensure only one possible result per interval.
Example: Internet speed selector
Imagine a test to determine a participant’s ideal internet speed. With the personalities of 100 mbps, 300 mbps and 500 mbps.
Here's how you could set up the scoring:
Questions | Answers | Points |
How many hours of video do you stream in the average week? | Less than 5 hours | 1 |
| Between 5 and 15 hours | 2 |
| More than 15 hours | 3 |
How many devices are connected to your internet (smart tv, mobile phones, laptops, etc.)? | 1 or 2 | 1 |
| 3 or 4 | 2 |
| 5 or more | 3 |
Are there any gamers in your household? | No | 1 |
| Yes | 2 |
If the player answers:
Between 5 and 15 hours
3 or 4
Yes
Questions | Answers | Points |
How many hours of video do you stream in the average week? | Less than 5 hours | 1 |
| Between 5 and 15 hours | 2 |
| More than 15 hours | 3 |
How many devices are connected to your internet (smart tv, mobile phones, laptops, etc.)? | 1 or 2 | 1 |
| 3 or 4 | 2 |
| 5 or more | 3 |
Are there any gamers in your household? | No | 1 |
| Yes | 2 |
The player will have accumulated 6 points at the end of the test, and will be given the personality for "300 mbps", as 6 points falls in to the interval for this personality.
Displaying personalities on the result page:
To display personalities on the result page you can use replacement tags to show their respective features as set up from Personalities in Game settings.
Personality name | #personality_name# |
Personality image | #personality_image# |
Personality description | #personality_description# |
Personality url | #personality_url# |
Personality video | #personality_video_url# |
Personality points | #personality_points# |
If you want to display more than one personality on the result page you can make use of the Content repeater.