When did your CX tool last deliver a breakthrough insight in under 5 minutes?
For most CX managers, collecting vast amounts of customer feedback is routine. But how quickly can you transform that data into actionable insights? How often do you spend hours analyzing reports, attempting to piece together your customers’ stories? What if you could collect feedback and instantly convert it into clear, actionable insights?
Imagine bypassing the tedious analysis and instantly converting customer feedback into clear, actionable insights. This would save valuable time and enable you to respond more swiftly to customer needs, ultimately improving the customer experience and driving business growth. The challenge isn’t gathering the feedback—it’s making sense of it quickly and accurately.
Meet sandsiv+ InsightNarrator – the innovative Agentic AI technology that’s revolutionizing how businesses understand and respond to customer feedback. Best of all, it integrates seamlessly with the survey platform of your choice, including Medallia, Qualtrics, InMoment, SurveyMonkey, QuestionPro, and many more.
What is InsightNarrator, and how can companies benefit from it?
Imagine having the power to upload thousands of customer feedback entries into a system that works like a magic box. Picture this magic box meticulously processing your data and, within minutes, delivering actionable insights that can transform your business strategy. Insights such as topic detection, sentiment analysis, semantic analysis, customer journey analysis, clustering analysis, and more, are all at your fingertips.
With InsightNarrator, this isn’t just imagination—it’s reality. InsightNarrator is an innovative tool designed to revolutionize how companies handle customer feedback. It takes the overwhelming task of sorting through massive amounts of customer comments and turns it into an efficient, streamlined process. Within minutes, you can have a clear picture of what your customers are saying, how they feel, and what key themes are emerging from their feedback.
But it doesn’t stop there. InsightNarrator is designed with your workflow in mind. The insights generated can easily be integrated into your favorite tools, such as PowerPoint, Word, and more, allowing you to seamlessly incorporate these valuable insights into your reports, presentations, and strategic planning.
So, stop imagining and start experiencing the power of InsightNarrator—where transforming raw customer feedback into actionable insights is as simple as pressing a button.
The core concept
InsightNarrator is designed with a singular mission: to simplify and accelerate the work of Customer Experience Managers by streamlining the extraction of actionable insights. Its primary objective is to deliver analyses in a storytelling format that highlights key insights and makes them immediately actionable. This approach not only saves time but also empowers CX managers to quickly understand and respond to customer feedback, driving meaningful improvements in the customer experience.
The entire process begins with your data. InsightNarrator is versatile, working seamlessly with data from any source you choose—whether it’s surveys, social networks, customer reviews, or more. To get started, the file you upload into InsightNarrator should include a column specifically containing customer reviews. Alongside this, you can include as much metadata as you need, which can be extremely useful for refining your analysis.
For example, you might include a country field to filter and analyze feedback from specific regions or any other relevant metadata that allows you to target your insights more precisely. This flexibility ensures that you can tailor your analysis to meet the exact needs of your business, making InsightNarrator a powerful tool for extracting actionable insights from your customer data.
InsightNarrator flow
Step 1: Load the Data
- Objective: Upload your dataset to InsightNarrator.
- Details: The process begins by importing data from your preferred sources, such as surveys, social media platforms, or customer reviews. Ensure that your dataset includes a dedicated column for customer reviews, along with any relevant metadata that will aid in targeted analysis.
- Human effort: low.
Step 2: Clean the Data
- Objective: Prepare and refine the data for analysis.
- Details: InsightNarrator automatically cleans and organizes your data, removing duplicates, correcting errors, and standardizing formats. This ensures that the data is accurate and ready for in-depth analysis, eliminating noise and focusing on what’s most important.
- Human effort: extremely low.
Step 3: Analyze the Data
- Objective: Extract actionable insights from the data.
- Details: With your data prepared, InsightNarrator applies advanced analytical techniques such as topic detection, sentiment analysis, semantic analysis, and clustering. The system processes the data to uncover meaningful patterns, trends, and insights that are critical to understanding your customers.
- Human effort: low.
Step 4: Visualize the Insights
- Objective: Present the findings in an accessible, storytelling format.
- Details: Finally, InsightNarrator transforms the analysis into clear, visual reports. These insights are presented in a storytelling style, making them easy to understand and act upon. You can export these visualizations directly into your preferred tools like PowerPoint or Word, ensuring that the insights are seamlessly integrated into your workflow.
- Human effort: extremely low.
Ensuring accuracy with InsightNarrator: a multi-model, agentic AI approach
InsightNarrator currently offers 11 distinct types of analyses. You can see a preview of these different analyses in the screenshot below. But what sets InsightNarrator apart from simply running these analyses through a general-purpose Large Language Model (LLM) like ChatGPT?
The key lies in our use of agentic AI architecture, which is specifically designed to minimize hallucinations—particularly in mathematical and statistical contexts. This architecture significantly reduces the risk of generating inaccurate or “crazy” results.
Moreover, InsightNarrator employs a multi-model approach. Our agents are equipped to choose the most appropriate model for each specific task, whether it’s an LLM, SLM, or another specialized tool. For tasks that involve complex data analysis or mathematical calculations, our agents use standard analytical tools rather than LLMs to further reduce the risk of hallucinations. This ensures that the insights you receive are not only accurate but also reliable, enabling you to make data-driven decisions with confidence.
What kind of results can you expect from InsightNarrator?
Let’s take a closer look using the well-known Disneyland Paris dataset. I uploaded 16,000 customer reviews from Disneyland Paris visitors and ran InsightNarrator. In just a few minutes, I received 11 detailed analyses, each packed with valuable, actionable insights.
These insights revealed key areas where the customer experience could be enhanced, allowing me to have informed discussions with the business and immediately begin making improvements. With InsightNarrator, you can expect a comprehensive understanding of your customers’ experiences, pinpointing exactly where changes are needed to boost satisfaction and loyalty.
Sounds like magic? InsightNarrator can deliver the same transformative results with your data. Please contact me on LinkedIn, and I’ll happily arrange a personalized demo for you. Together, we’ll explore how Insight Narrator can turn your customer feedback into actionable insights that lead to real business improvements.
In the upcoming articles, I’ll delve deeper into key topics related to InsightNarrator, including:
- How Agentic AI prevent hallucinations
- Data Privacy and Security
- InsightNarrator Analyses
- Visualization in the Storytelling Dashboard
