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AI-Powered Survey Analysis for SurveyMonkey users with BlockSurvey

Jul 31, 2024 · 2 mins read

If you're a SurveyMonkey user seeking for actionable insights from your survey data, it’s time to switch to BlockSurvey's AI-powered survey data analysis. Imagine the frustration of wasting time, money, and effort on manual survey data analysis, only to find yourself buried in a large volume of data with no clear direction. BlockSurvey’s AI can effortlessly transform your raw data into valuable insights, regardless of your technical expertise.

Ideal for a diverse range of professional applications, from optimizing customer journeys and enhancing employee engagement to boosting customer satisfaction or conducting academic research, BlockSurvey's intuitive interface and powerful AI capabilities make extracting critical insights a seamless process.

Still worried about transition?? Know how BlockSurvey enables seamless migration from SurveyMonkey in just seconds.

How to Use BlockSurvey’s AI for SurveyMonkey Data Analysis

Step 1:

Export your survey results from SurveyMonkey as a CSV file. Upload your CSV file.

Step 2:

BlockSurvey's AI analyzes and understands your survey data by examining your survey questions. It identifies key themes that will be helpful for you and starts extracting key insights. This process takes approximately 5 minutes, so feel free to take a coffee break while the AI does the work. You can watch the progress in real time.

Step 3:

Once the report is ready, open it. You'll find a summary, key insights, and analyses, such as Thematic, Sentiment, Demographic, Anomalies, and Events. This is an initial report. If you want to dig deeper, use the Chat with AI feature to probe further.

SurveyMonkey vs BlockSurvey's AI

How AI survey data analysis can save time and reduce cost

SurveyMonkey enables you to easily visualize the responses to each question, including close-ended questions. However, simply viewing the results is just the first step. To truly gain insights from your survey, you need to extract meaningful information from the data. While visualizing results can be subjective and influenced by personal biases, AI-powered insights can provide an objective and accurate understanding of what your data is trying to tell you. By leveraging AI-driven analysis, you can uncover hidden patterns and trends, and make data-driven decisions with confidence.

Analyzing open-ended responses is inherently time-consuming and resource-intensive. Each response must be read, interpreted, and categorized, often requiring a nuanced understanding of context and language. This process can be slow and costly, making it impractical for large datasets or when quick decision-making is required. If you are an organization with limited manpower or budget constraints you may find yourself unable to analyse the full value of the data collected, potentially missing out on critical insights that are hidden inside the honest response given by your customer.

Now let’s see how BlockSurvey’s AI can Save cost and time for you,

Reduced time: Manual data analysis involves data cleaning, sorting, analyzing, and visualizing, which is time-consuming, especially with large datasets. AI accelerates this process allowing for quicker turnaround times and freeing up employee time for other critical tasks.
Reduced Cost: By integrating AI into survey data analysis, you can minimize or even eliminate the need for dedicated full-time data analysts or costly external consultants.
The rapid processing capability of AI to derive insights from data can significantly enhance operational efficiencies. For example, a retail business can quickly adjust inventory levels based on real-time consumer feedback analysis, thus reducing overstock and understock scenarios, and ultimately saving on operational costs.
Improved insights: AI survey data analysis plays a pivotal role in refining data, substantially enhancing the reliability and relevance of the insights obtained.

Switching to BlockSurvey's AI-powered survey data analysis not only saves time but also reduces costs significantly. By automating the tedious aspects of data analysis, you can focus on utilizing the insights to drive better decisions and achieve your goals more efficiently.

How BlockSurvey Can Help SurveyMonkey Users

Use Case 1: Analyzing Customer Feedback for Brand Perception

Challenge: As a marketing team you wanted to analyze customer feedback from a recent brand perception survey conducted via SurveyMonkey. The aim is to understand how customers perceive the brand compared to competitors and identify specific areas for improvement.

How AI survey analysis helps: BlockSurvey’s AI-powered analysis can highlight how customers perceive various aspects of the brand, such as product quality, customer service, and innovation. The thematic analysis can pinpoint specific issues, like concerns about product durability and customer service responsiveness.

By using BlockSurvey’s AI-powered analysis, the marketing team can reduce their analysis time by 80% and gain deeper insights into brand perception. These insights enable them to implement targeted improvements in product quality and customer service, resulting in increased customer satisfaction and a stronger market position.

Use Case 2: Improving Workplace Culture through Sentiment Analysis

Challenge: As a human resources team at a large corporation if you were tasked with improving employee engagement but were overwhelmed with manually analyzing sentiment from a large volume of SurveyMonkey responses.

How AI survey analysis helps: BlockSurvey’s AI can quickly identify positive, negative, and neutral sentiments and flag issues for immediate attention. BlockSurvey’s detailed report on the sentiment analysis derived from the open-ended answers of the employees, allows the team to prioritize and address the most critical concerns.

With these insights, the HR team can implement targeted changes to policies, communication strategies, and workplace initiatives, directly addressing frequent employee concerns and improving overall engagement and satisfaction.

Use Case 3: Identifying Key Features for New Product Launch

Challenge: A product development team needed to analyze feedback from a SurveyMonkey survey to understand which features customers valued the most for an upcoming product launch. Manually analyzing and segmenting the data was proving too time-consuming.

How AI survey analysis helps: AI can swiftly identify and categorize responses about desired product features. BlockSurvey’s AI can provide demographic insights and segment the feedback by customer type, revealing which features were most important to different segments. Using these insights, the team can prioritize the development of features that are most valued by their target segments, ensuring the new product meets customer expectations.

To wrap it up,

Don’t settle for simple manual analysis or fancy visuals when you can use BlockSurvey’s super smart AI survey assistant who can effortlessly swift through your data and deliver actionable insights in just minutes. By automating complex data analysis tasks, BlockSurvey helps teams across organizations to gain valuable insights quickly and cost-effectively, ultimately driving better business outcomes. Get real-world guidance on how to apply your data to your business.