What are AI Surveys?
Expanded as artificial intelligence surveys, these are automated surveys conducted by AI.
Unlike traditional surveys, there is no need for the researcher to manually collect, analyze, and implement data.
Powerful algorithms and technologies back AI surveys that automate the data collection and analysis process.
Here are some primary aspects of AI surveys!
- No human intervention is required to conduct AI surveys.
- AI can automatically collect feedback data from several survey sources like online forms, social media, and chatbots.
- AI can categorize the content based on predefined parameters.
- Automated pattern and trend analysis
- Comprehensive reports and dashboards.
Besides, today, businesses are leveraging AI in another way for surveys.
As I just mentioned about conversational AI earlier, brands are using AI to create survey questions based on prompts, just like ChatGPT.
With AI, survey automation is a cakewalk and not just this. AI can also shape the surveys based on user responses to the initial questions.
This is known as personalization and plays a critical role in garnering valuable insights in a limited time while reducing survey fatigue.
Converse AI is an exceptional example of an AI survey tool that can help you automate the entire survey process.
Here is more about generating surveys with AI!
Benefits of AI Surveys!
Now, besides personalization and automation, AI-powered surveys have several other benefits.
Let me highlight them for you!
- Human-like conversations
The best thing about AI surveys is that they interact with users just like a human. Hence, these human-like interactions gain users’ trust and encourage them to share organic feedback without any bias.
Furthermore, the response rate of these surveys also increases.
- Sentiment analysis
With the power of AI, ML, and NLP technologies, businesses can go beyond the yes/no and positive/negative responses.
Whether the user response is textual or vocal, AI can seamlessly analyze the hidden emotions of the users in their reviews, including hidden desires, sarcasm, frustrations, and motivations.
This leads to faster and better product development and customer service. An example of this can be McDonalds.
The real-estate brand that sells fast food at its locations uses AI and text analysis to analyze reviews and social media mentions.
Based on the negative feedback submitted by the customers, the brand focuses on improving its recipes and training its staff.
- Predictive targeting
A business must manage its resources while conducting its marketing activities.
With the implementation of AI surveys, this becomes easier. Based on the previous user responses, demographics, and online behavior, marketers and researchers can estimate the number of users willing to take the survey.
This helps identify potential participants and plan survey distribution effectively.
You can also add an incentive to increase the response rate.
Note: Adding an incentive to the survey can boost its response rate by 50%.
- Bias detection and mitigation
Based on the data used to train the algorithm, AI will be biased or bias-free.
Hence, if your AI is trained on bias-free data, the AI will flag any biased language in the answers by the users.
Moreover, an unbiased algorithm will also ensure genuine questions, accurate results, research integrity, and trust building.
- Interactive visuals and report generation
The collected data from the AI surveys can be in heaps where the data elements can be repetitive, unstructured, and redundant.
It can take a lot of time to filter out redundant data and eliminate repetitive ones. AI can counter such scenarios.
With the help of advanced AI algorithms, the survey data can be easily analyzed.
There are several AI survey tools that can easily handle AI survey data analysis, such as Converse AI.
It can automatically generate reports for you and present the data in the form of interactive dashboards.
- Personalized survey experience
I have found that 60% of users say they will become repeat customers of a brand after a personalized shopping experience. A personalized experience saves a lot of time for users searching for the right product.
In AI surveys, personalization is also a feature where the AI algorithm analyzes the users' previous answers to target them with dynamically curated questions.
The best thing about these questions is that they make the overall survey experience engaging and relevant.
A Step-by-step Process to Creating AI Surveys!
Well, we know that there are a number of AI survey tools out there.
Moreover, I also want to point out that each of these tools has its own way of conducting surveys. However, most of them only require a few inputs to get started.
But, no matter which one you choose, the overall process of conducting surveys is almost the same.
- Pick a suitable AI survey platform.
The number one step to creating and implementing an AI survey is choosing the right AI survey platform or tool.
An AI tool can streamline the process for you by automating all the survey steps.
For example, based on some initial input parameters, it can create the initial survey questions and further improvise them based on the user's answers.
The initial parameters may vary based on the type of tool.
But if I talk about the Converse AI tool, these parameters are as follows!
- The company name.
- Your area of expertise.
- Key topics or issues for which feedback is required.
- The type of survey.
- The tone of the survey.
Once you click on the Create Conversation button, the tool will provide a screen where the questions will be probed.
There are other options that you can set after this screen, such as adding your own knowledge base that the AI can access to answer user questions, if any.
Further, you can make design changes, change response settings, and even opt for notifications.
In short, make sure the tool has all the necessary features before choosing it.
Here are the features that I think should be included in the tool.
- Ease of use
- Customization options
- Advanced Targeting
- Security and Compliance
- Strategically describe your objectives.
The second step is to make further changes to the survey.
For example, based on the goal of your survey, you can write the parameters mentioned in the previous steps more comprehensively. You can describe your company in more detail.
Moreover, you can write a more comprehensive prompt regarding the issue for which you need feedback.
The tools also allow you to make changes to the questions suggested by the AI.
You can also seek more suggestions for the survey questions. In short, this step is to elaborate further on the survey parameters based on your goals.
- Personalize your survey
Survey personalization is based on AI algorithms.
However, to ensure that your users do not feel disconnected or bored during the survey, it is good to connect tools like CRM tools, such as Zendesk, Salesforce, Hubspot, etc.
AI can acquire demographics and previous feedback data from these tools and probe questions based on that.
This leads to more organic response and a higher response rate.
You can also edit the questions created by the AI to make the survey personalized. Converse AI offers you various tools to connect to.
- Integrate it with other tools.
As I said, there are several options for tools that can be added to the survey in the backend.
Based on the required functionality, you can connect these tools to the survey.
For example, with Converse AI, you can use several tools that you can connect.
- Freshdesk: Based on the user feedback, this tool can automatically create support tickets.
- Shopify: Trigger messages and emails to users when they submit, cancel, or fulfill orders based on contact mapping.
- Hubspot: Based on the user response, you can send the response data to the Hubspot CRM.
Besides these, there are several other tools, such as Jira, Mail Chimp, Slack, Google Sheets, etc., that can be used for different functionalities.
- Share and distribute your surveys.
Once all the above steps are completed, it is time to share and distribute the survey to the users.
There are several ways to distribute and share the survey, such as by email, on the website, via social media platforms, etc.
If you have any other channels in mind, you can just copy the link to the survey and distribute it further.
Apart from these methods, Converse AI has two other methods for sharing and distributing surveys, such as QR codes and personal links.
- Analyze feedback
After your survey is live and some of your participants have taken it, you can analyze it through several factors.
For example, in Converse AI, you can analyze the results based on average completion time, drop rate, ratings, responses, sentiment, etc.
With all the data in hand, you can focus on building better products and customer experiences.
Best Tips for Implementing an AI Survey!
Apart from the steps described above, I think there are some things that need to be kept in mind to ensure a smooth and effective AI survey.
Here are some of those primary tips!
- Personalize your survey
As hinted a number of times, it is necessary to personalize your survey for effective AI implementation.
Personalizing the survey helps users get to the important questions faster for an effective survey experience.
- Use skip logic
Slip logic is an effective way to lead the users to the most relevant questions.
For example, if a customer has provided a negative review for the product, you can skip to the question about how to improve the product.
If the customer has provided positive feedback, you can skip this question and move to other relevant questions. This speeds up the process.
- Enable sentiment analysis
Sentiment analysis helps you understand more than is required from the customer feedback.
With NLP and ML technologies, AI can filter out amazing sentiment insights for you, revealing the emotions of frustration, satisfaction, sarcasm, etc.
These insights can help you identify trends and patterns to improve products more precisely.
- Enable real-time monitoring
AI surveys are not like traditional surveys, which require you to wait for a fixed period to see the results.
Today, you can monitor user feedback in real time and take action as soon as possible.
- Automate follow-ups
Automated follow-ups are messages or emails that are sent to users based on some triggers.
For example, if a user has provided negative feedback on your product, the AI survey tool can send a follow-up message or email with a survey link to the customer to learn more about the issue.
So, I think these are tips as well as some functionalities that you should consider in an AI survey tool before choosing one for your research.
Highlighting the Best AI Survey Tools!
Briefly discuss the best AI survey tools!
Converse AI
Qwary provides an exceptional survey and market research AI tool, Converse AI.
The tool has some remarkable features that make it stand out from the rest of the market.
Key features:
- Impressive presentation features: Converse AI provides you with remarkable data presentation with detailed reports, NPS scores, sentiment analysis, dashboards with graphs and charts, etc.
- Allround embedding: Converse AI can be embedded or integrated everywhere for maximum coverage, such as on the web, in-app, email, website, SMS, etc.
- Security and privacy: With Converse AI, you don’t have to worry about the data. It will be secure and kept private.
Qualtrics
This tool is second to none on the market.
It has features like predictive analytics and sentiment analysis that make it easy for businesses to identify trends and patterns to create the best products.
Key features:
- Deeper insights: Qualtrics analyzes more than just the demographics of the users. It leverages insights like user responses, online reviews, comments, and response time to provide unique customer experiences.
- Hidden trends: The tool can help you find hidden trends and patterns in the data to find better ways to improve the products.
- Automated reports: With Qualtrics, you can get automated reports with all the necessary AI insights.
Survey Monkey
This AI survey tool is created by the same firm as ChatGPT, OpenAI.
The AI survey tool enables the researchers to create customized surveys aligned with their unique needs.
- Build with AI: The tool enables researchers to create tailored surveys that meet everyone’s unique needs.
- Tone analysis: Backed by supreme sentiment analysis features, Survey Monkey helps analyze the tone of the users as positive, negative, or neutral based on unique keywords in open-ended feedback.
- Smart branching: Unlike some tools, Survey Monkey has smart branching that allows researchers to jump to targeted questions based on the previous answers from the users.
Besides these, there are several other AI survey tools to choose from for the analysis process.
Some of them have unique features, such as
Conclusion
AI in market research can be a masterstroke for businesses planning to improve their products. And if they introduce AI implementation in the surveys, it can be a goldmine.
With survey automation, everything can go smoothly while ensuring that the algorithm is trained on quality, ample, and correct data.
To make it to the end, an AI survey tool will be imperative, and I can solve that problem for you.
I recommend Converse AI from Qwary for your research user and market research operations.
The tool has all that you need to kill the market with your product. So, just get on to it!
FAQs
- How AI help in survey analysis?
There are several aspects to a survey, and AI is the master of all. Based on aspects like theme, trouble areas, sentiments, etc., AI can seamlessly analyze the data and provide clear and concise results. AI-powered with NLP and ML can interpret survey results brilliantly and quickly.
- Can AI help in forming survey questions?
Yes, the generative AI model can be integrated with the survey tools that can help in generating the ideal and targeted questions based on initial inputs.
- What are the best AI tools for the survey?
There are several AI tools for surveys, such as Converse AI, Typeform, Zonka Feedback, Survey Sparrow, and more.
