Move What is Sopact Sense
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What is Sopact Sense
Sopact Sense is a remarkably lightweight, all-purpose data collection tool designed to help organizations tackle a wide array of problems. It’s not just another survey or forms product. While you can do everything you’d expect from a survey tool, Sopact Sense is obsessively designed to help you collect clean data and analyze qualitative data in ways you’ve never done before.
Traditional data collection creates fragmentation, data lives in silos, records don’t match, and duplicates pile up because there’s no consistent unique ID management. Sopact Sense fixes this at the source through three unique built-in features that ensure every contact and data point has a unique ID, keeping data clean, connected, and AI-ready across the entire lifecycle.
Contacts - Just like a CRM, Sopact Sense features a light weight Contacts object that helps you create a group of unique people. For example, you may have a cohort of people you are collecting data from and you could ha
What is Sopact Sense
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Move Step 1: Create Contacts
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Step 1: Create Contacts
This is the beginning of 4 steps quick implementation guide of the Sopact Sense platform. You'll learn in 4 steps how easy it is to start collecting clean data, void of duplicates and typos and you will also understand how easy it is to collect data from the same people or have the data corrected by the same people.
Imagine you are running a program for young girls to train them on technology skills so that they can have an opportunity at getting a job in the tech industry and improve their quality of life.
With this context, lets get started.
You need some way to register/enroll these girls into your program. This is what Contacts are for.
You will learn in Step 3, how foundational Contacts are to collect clean data.
All the static information that you would typically collect as part of the information goes into it.
Let us say that we need the following information for every girl we enroll:
- Name
- Email
- Date of birth
- State
- How confiden
Step 1: Create Contacts
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Step 2: Create Forms
Setting up forms is very similar to creating contacts.
Continuing with the same example. Let us assume that we are setting up a feedback form so the girls can give our organization feedback on the training program.
We will setup two forms from the perspective of tracking progress these girls have made on their confidence level with technology skills.
Mid Program feedback
For Mid program feedback we create the following questions
- What was your score on the coding test?
- Did you build a web application?
- How confident do you feel about your current coding skills and why?
Post Program feedback
For Post program feedback, we create the following questions
- Did you build a web application?
- How confident do you feel about your current coding skills and why?
- Did you get a job?
Let's get started.
1. Click on Forms menu item from the left side bar. You will be navigated to the screen below.

It literally takes 2 seconds to establish relationship, let us look at how to do that
1. Navigate to the form (specifically the screen shown below)
2. From the screen below, select Girls from the drop down and click on Add
 data and creating Contacts
- Collecting deduped data (without any duplicates)
- Correcting typos and mistakes in the data
- How to followup with the same stakeholders for data collection or data correction on a different form
Going back to the example we started. We need to start enrolling the girls and collect mid and post forms data from enrolled girls who are part of the program.
1. Creating Contacts
Click on Contacts from the side menu bar, the screen will look like so

You can use the form link as an enrollment form to start entering conatct information for the girls
or
You could embed the form on your website to collect registration information directly from your website
Every enrollment submitted through this form become
Step 4: Collect data
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Move (Optional) Text analytics
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Qualitative data analytics
While not necessary to understand the fundamentals of our system, this feature is extremely useful for extracting useful insights in different forms from unstructured data such as open-ended responses and documents containing text.
We accomplish this my introducing a very innovative field type called "Intelligent Cell".
Let us quickly see what you can do with this.
In the image above, you can see the open-ended responses being turned into quantifiable themes which allows you to answer metrics such as
% of girls that improved their confidence level during the training program
Let us see how to configure an Intelligent Cell field type for our forms.
Going back to the Mid Program Feedback form
1. Create an Intelligent Cell Field with the following details
 Text analytics
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Move Creating a survey banner
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Creating a Survey Banner
You may customize the look and feel of your survey by adding a survey banner or a title to your survey. An example survey banner:
Lets take a look at how to accomplish this.
1. On your survey, create a question of type HTML Static Text, like so
2. Once you upload your image, it might look something like this
Note
Banner image size is very important for the look and feel to be ideal.
Please use 1892x600 size for best results.
Creating a survey banner
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Move Creating questions
Open Creating questions
Creating questions
Creating question is straight forward.
1. Navigate to the designer mode on any survey by clicking on Manage Fields like so
2. Start adding questions with the Add Question button and first selection is the type
You can choose from 12 available types (as of this writing)
You can click on the preview button to look at how the survey would look on the browser.
3. Adding question hint
Question hints are additional pieces of information that help the survey taker to understand better how to answer certain questions. For example, on a Comment Field question, adding hint would look like this
Creating questions
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Skip-logic Configuration
Skip-logic allows you to show or hide questions based on responses to other questions. Let us look at how to configure that for your survey.
You need to save the question first to get the option to configure skip-logic
1. To configure skip-logic on a question, click on Skip-logic (as shown below)
Then, configure the skip-logic as shown
2. Configuring multiple conditions with logical AND/OR operators
You may use the logical AND or OR operation to combine multiple conditions together.
The image below shows the configuration.
This GIF below shows the outcome of configuring multiple skip logic with logical AND operator:
Skip-logic
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Data validation
Data validation is a fundamental functionality that ensure clean and quality data collection. One of the big differentiators in Sopact Sense is the ability to configure advanced validation rules so you can collect the data exactly the way you want.
Let us look at how,
1. Configuring basic validations
Configuring basic validations is super simple and is done at the time of the question creation. Based on the type of question different options show up.
For example:
Number field type can have min and max values and the field itself is restricted to accept only numeric information, like so
For TextField, we can restrict it to accept only alphabets (for example, when asking for a person's name) or it could be alphabets and number combination. We may also restrict the number of characters allowed, like so
.
For example, look at the image below:
Confidence Measure is the Intelligent Cell that extracted the confidence measure from the open ended response.
Intelligent Cell
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Move Qualitative data analysis
Open Qualitative data analysis
Extracting insights from open-ended responses and documents
If you collect a lot of data on open-ended responses and collect documents as part of your data collection strategy, Sopact Sense has excellent AI capabilities in the form of Intelligent Cell that will save you hundreds of hours going through the data manually.
This is not to say that it would replace a human being, it will be your companion that will do quite a bit of heavy lifting and help you do the analysis in much less time than usual.
Let us see how to extract insights from text data using Intelligent Cell.
1. Insights from open-ended Comment Field
Create an Intelligent field that processes the responses in another Comment Field based on the criteria you give. For example, we can extract Confidence Measure from the following open ended feedback on the survey:
How confident do you feel about your current coding skills and why?
![IntelligentCell_4_Opne_ended.png](https://docs.sopact.com/u/intelligentcell
Qualitative data analysis
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Move Creating a good prompt
Open Creating a good prompt
Creating a good prompt for analysis
Creating good prompts that consistently work is a skill that can be learned. In this chapter we look at some use cases and best practices to construct a good prompt that will help us extract insights, set a score, implement a custom evaluation methodology, or simply summarize something out of documents and open-ended responses received over surveys. This will help in creating a continuous and an automated workflow, where the analysis is performed as soon as data is received, saving huge amounts of time. This also helps turn unstructured data into something that is more structured which is human readable and quantifiable.
A good prompt generally has the following four characteristics
- Constraints - What you don't want the AI model to do
- Emphasis - What should the AI model particularly pay attention to
- Task - A very specific ask on what the AI model is supposed to do
- Context - Providing clear and specific examples on how the AI model should
Creating a good prompt
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Move Downloading data
Open Downloading data
Downloading data
To download data, go to the data grid and click on the "Download" button.
Step 1. Go to the data grid for a particular survey
Step 2. Click on the "Download" button
Downloading data
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