Collecting customer feedback is a big task. The even bigger task is to segregate the data into a comprehensible format. Artificial intelligence is here to ease our burden of filtering through complex data sets. This means real time assessment and getting a synopsis of the responses. In this blog, we will talk about the 5 main advantages of using AI to analyze survey data in customer feedback .
What is Survey Analysis?
Survey analysis involves collecting, examining, and interpreting data from customer surveys. It involves cleaning and preparing all collected data to gain insights into customer perceptions, preferences, and overall satisfaction metrics. This process helps businesses understand the needs and expectations of their customers, identify areas for improvement. Survey analysis is conducted to make data-driven decisions to enhance the customer experience..
Why do we need AI for data analysis?
AI is essential for survey data analysis due to the following reasons:
Handles large volumes of data: AI can process and analyze vast amounts of survey data efficiently beyond human capabilities.
Identifies patterns and trends: AI algorithms can detect patterns, trends, and correlations in responses that can be missed by traditional analysis methods.
Provides better Insights: AI uses natural language processing (NLP) to analyze open-ended responses. It can extract meaningful insights from customer comments, feedback, and sentiments.
Increases accuracy: AI reduces human errors in data interpretation for more accurate and reliable results.
Automates repetitive tasks: AI automates data cleaning, categorization, and segmentation, freeing up time for more strategic activities.
Personalised recommendations: AI brings personalized customer experiences by tailoring products, services, and communications to individual needs and preferences.
AI For Survey Data Analysis: 5 Major Advantages
1. Enhanced accuracy and efficiency
AI in survey analysis offers more accurate and reliable results on the CX dashboard. AI algorithms deliver precise and error-free results. It uses the natural language processing (NLP) techniques for accurate data interpretation and deeper insights into qualitative data. This feature removes the need to manually batch-process feedback (which can lead to a lag in customer grievance resolution). With AI-powered survey analysis, errors are minimal, and results become more reliable. This frees up resources for other important tasks, increasing overall efficiency and productivity.
2. Deep insights and predictive analysis
AI algorithms have the ability to identify trends and patterns that may go unnoticed by using traditional format. Predictive analysis helps CX professionals anticipate customer needs and preferences. This includes the ability to analyze customer feedback data and uncover hidden patterns and correlations. Since brands always fight for the first mover advantage, faster analysis can provide a competitive edge in the market. You can now extract valuable insights from qualitative survey feedback using artificial intelligence. Businesses can gain profound customer insights and confidently plan for the future.
3. Cost-effective and scalable solutions
Cost-effective and scalable solutions are a significant advantage of using AI for survey data analysis. Scalable AI solutions can handle large volumes of customer information. This makes customer feedback processing more accessible and cost-effective. AI algorithms are capable of processing large scale survey data at a faster pace. Furthermore, automating data cleaning and preparation through AI streamlines the survey analysis process, saving both time and money. Thanks to the accurate results from AI analysis, one can minimize the need for costly revisions or reanalysis. Moreover, AI enhances scalability by handling multiple surveys simultaneously
4. Processing customer satisfaction metrics faster
In a customer feedback protocol, the customer support team often launches metrics of CSAT, net promoter score and CESas per situations. In bigger organisations, processing every customer satisfaction metrics can take a lot of time if done manually. When you integrate artificial intelligence into your systems, the support team can automatically process maximum information swiftly. The benefit? People can resolve their issues within the same time frame. You can close the feedback loop or make a note of happy to unhappy customer ratios.
5. Automated real-time reporting
Real time reporting helps CX professionals view pain points, support tickets, and other important metrics that need instant attention. Organisations can make agile decisions based on the latest respondent results with AI-driven real-time reporting. AI platforms enable businesses to stay ahead of the competition by offering actionable insights. Additionally, AI also facilitates continuous monitoring of customer response data to address issues in real-time
Merren uses AI in survey data analysis
AI takes a lot of our cognitive burden and makes work easier for the marketing professionals. This stretches from curating questionnaires to analyzing response results. When a business starts to scale, manually handling datasets will become an impossible task. This is where we begin to automate processes. Merren uses AI analysis to share data synopsis with you. It can convert speech to text from multimedia survey responses. Get sentiment analysis and word cloud analysis on your research campaigns. Optimize the CX dashboard as per your requirements.
You can create your own open-ended and closed-ended questions with our templates and launch it via interactive mediums. This includes WhatsApp surveys, Facebook messenger surveys and AMP emails. Merren is robust and equipped to handle large volumes of respondent data.
Conclusion
Merren leverages artificial intelligence for customer survey design to change the way you conduct market research. Marketing professionals can now create better online survey questions with the use of AI. The biggest advantage is the real time survey results and sentiment analysis. All responses are collected on our dashboard.
Using artificial intelligence, customer feedback exercise will now not be time-consuming at all. Use Merren’s survey analysis tool and launch your own feedback using messenger apps. Sign up for a 14 day free trial and supercharge your customer feedback process.