Instantly compare feedback by groups, and over time, or compute NPS with a click of a button. With automatic stats testing, state-of-the-art visualizations, and sophisticated analysis capabilities for predictive modeling and trend analysis.
Displayr is built for customer feedback data, so it automates much of the analysis process for you. Instantly compare feedback by groups, and over time, or compute NPS with a click of a button. With automatic stats testing, state-of-the-art visualizations, and sophisticated analysis capabilities for predictive modeling and trend analysis, you’ll always be instep with your customer’s feedback.
Color and arrows automatically highlight significant results, making it fast and easy to spotlight the real insights. Displayr automatically creates all your tables for you and identifies the most interesting ones, saving you hours.
Use best in class Driver Analysis to quantify the key drivers of NPS and satisfaction. Quickly categorize and analyze text using the latest machine learning algorithms. Visualize your results and insights with quad maps, small multiples, splines, and stunning interactive dashboards.
When you have new customer data, Displayr will automatically update your analysis and reports – instant and error free. You can even set smart triggers to alert you when key metrics change.
Displayr is not just a customer feedback data tool; it excels in every aspect including crosstabs & pivot tables, trend analysis, advanced analytics, dashboards, PowerPoint reporting, data apps, and more. Once you have your customer feedback insights, you can seamlessly integrate them into your reports and even update everything automatically with new data.
Vice President, Analytics, Leger
SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, & more.
Summary tables, crosstabs, pivot tables, regression, text analysis, segmentation, machine learning, & more.
Data visualization, interactive data apps, dashboards, presentations, PowerPoint, Excel, PDF, web pages, & more.
AI automatically identifies and categorizes themes within your text data, providing deeper insights.
Understand and analyze complex emotions like frustration and sadness, helping you understand customer motives.
Extract key entities like names, places, and organizations to enrich your analysis.
Fine-tune and adjust categories to match your specific needs and preferences.
Create stunning word clouds, charts, and dashboards that help tell the story behind your text.
Analyze text data in any language, with true native language support to a global audience.
Analyze large volumes of text to gauge positive, negative, or neutral sentiments.
Extract insights with unrivalled accuracy, utilizing NLP to reduce manual effort and free up time.
Displayr helps MAC Research cut reporting and analysis time by 2/3rds
When looking at customer feedback metrics, market researchers have traditionally focused on Net Promoter Score (NPS) and Customer Satisfaction Score (CSAT). However, with so much data readily available and advancements in analysis technology, metrics like Customer Effort Score (CES) and sentiment analysis have grown in popularity.
NPS (Net Promoter Score) measures customer loyalty by asking: “How likely is it you would recommend [X] to a friend or colleague?” It is then scored by subtracting the percentage of Detractors (those that answered with a six or lower) from the percentage of Promoters (those that gave a nine or ten).
CSAT (Customer Satisfaction Score) measures immediate satisfaction with a product or service. It asks, “How satisfied are you with [X]? Answers then range from one to five.
There are a number of different ways to visualize your customer feedback data to provide a greater level of understanding to your organization. These typically include word clouds, bar charts, heatmaps, or dashboards that track key metrics over time. Displayr makes it easy to create interactive visualization of your customer feedback data.
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