Customer Feedback Management - Copilot
Updated
The CFM Copilot, an AI-driven conversational assistant integrated within Sprinklr CFM, enables business users to effortlessly query survey data using natural language. This eliminates the need for advanced analytical skills or manual exploration of dashboards. Seamlessly embedded in both Analytics and Custom Dashboards, the Copilot provides highly confident and well-founded answers, which are consistently supported by actual survey responses.
The Copilot helps to reduce the complexity involved in extracting meaningful insights from survey data, particularly when multiple custom fields, filters, hierarchies, or surveys are in play. Instead of relying on specialized analysts or extensive dashboard exploration, users benefit from a self‑serve conversational interface that can interpret natural language questions and deliver accurate, verifiable insights. The goal is to enable intuitive data querying, ensure every response is grounded in actual survey inputs or visualized data, and support advanced capabilities such as trend identification, comparisons, root‑cause exploration, thematic analysis, emerging issue detection, and multi‑turn follow‑up interactions.
Business Use Cases
Eliminates manual analysis for common questions (trends, comparisons, distributions).
Bridges skills gap with a natural language, self-serve interface.
Grounded answers reduce risk of misinterpretation and build trust.
Faster decisions via concise, data-backed summaries + charts.
Context-aware multi-turn exploration (filters, time, segments, hierarchies).
This solution enables natural language–to–insight interaction with no specialized skills required, delivers grounded and auditable answers with sources displayed in a dedicated third pane, supports multi‑turn depth by preserving context across follow‑up questions for progressive analysis, and accelerates speed‑to‑insight by instantly rendering trend lines, comparisons, and distributions.
Examples
Trend & Comparison for CX Scores
Example query: “How has NPS changed across quarters for the Shell sites in the region of Arizona?”
Delivers a trend summary with an NPS chart, along with suggested refinements such as “Compare with Texas” or “Show Tier 1 only.”Root Cause & Themes for Low Scores
Example queries: “What are the top complaints from low CSAT responses?” or “Why did NPS drop in July for Tier 1 cities?”
Applies relevant filters, surfaces themes, sentiment, and drivers, and offers follow‑ups like “Show top 3 themes by city.”Emerging Issues & Sentiment Monitoring
Example queries: “Which new issues have appeared recently in open comments?” or “Has positive sentiment improved in the last 60 days?”
Highlights emerging topics versus baseline, shows sentiment trends, and identifies impacted regions, sites, or channels.
Key Capabilities
Convert natural language into valuable insights without needing any specialized skills.
Verifiable and reliable answers are provided, with their sources displayed in a dedicated third pane.
The depth of multi-turn interactions is achieved as follow-up exchanges maintain context, allowing for progressive analysis.
Rapid insights are achieved through the immediate display of trend lines, comparisons, and distributions.
Prerequisites
You would need CFM Copilot permissions at the App Level.

Accessing CFM Copilot
The navigation steps are listed below:
Navigate to Spinklr Insights and then access Customer Feedback Management Persona App.
You can access Co-pilot in these two ways:
Analytics Tab: First, access a Survey. From there, navigate to the Analytics tab to open Sprinklr Copilot.

Custom Dashboards: In the left pane, proceed to Custom Dashboards. Then, choose a custom dashboard of your preference, and finally, open Sprinklr Copilot.

Key Functionalities
Copilot delivers contextual, conversational insights by understanding intent, grounding answers in survey data, and supporting interactive exploration with full transparency and explainability. The functionalities are listed below:
Conversational input parsing and intent detection: Copilot understands natural language questions, identifies intent and key entities, and adapts to informal or incomplete inputs.
Response generation grounded in available survey data: Generates answers strictly based on surveys, responses, metrics, and widgets available in your environment.
Auto‑detection of relevant surveys and custom fields: Automatically identifies the most relevant surveys, questions, and custom fields to reduce manual setup.
Multi‑turn clarifications for ambiguous queries: Asks targeted follow‑up questions when queries are vague to ensure accurate results.
Support for drilldowns, filters, and follow‑ups: Allows iterative exploration through filters, drilldowns, and follow‑up questions that stay within the same data context.
Visual and textual answer support: Presents insights using charts, statistics, and concise summaries for faster comprehension.
Feedback, copy, and share options: You can provide feedback using thumbs‑up or thumbs‑down, copy responses, or share insights with stakeholders to support collaboration and continuous improvement.

Source transparency through a dedicated pane: Copilot shows the exact surveys, responses, or widgets used to generate an answer in the third pane, giving you full visibility into the data backing each insight.


Edge Case Handling: Copilot intelligently detects when your question spans multiple surveys with similar data, such as shared fields like Region or Site. Instead of guessing, it guides you to choose the right survey before proceeding, ensuring insights are always accurate, relevant, and trustworthy. This keeps your analysis focused and eliminates the risk of drawing conclusions from the wrong data set.
Permissions & Security: Copilot respects your data access at all times and only surfaces insights from surveys you’re authorized to view. If a question requires comparing multiple surveys and you don’t have access to all of them, Copilot will clearly let you know and guide you to continue within your permitted scope, ensuring secure, transparent, and reliable analysis without interruptions.
Multi-Survey Handling: When you ask comparative or aggregated questions across multiple surveys, Copilot automatically checks your access. If you have permission for all required surveys, it fetches and processes the data seamlessly. If not, Copilot clearly explains the limitation and guides you to continue the analysis within the surveys you’re allowed to access.
Response Capabilities Summary: Copilot delivers clear, actionable insights through concise textual answers, supported by visualizations where relevant, with detailed breakdowns by key entities such as region, site, or custom fields. Each response is interactive, allowing you to drill down into details or refine the analysis with follow‑up questions and filters.
Queries Supported
Category | Description | Example Question |
Descriptive (Single Metric) | Retrieves a simple value, count, or percentage for one metric. | What is the average CSAT score? |
Comparative (Multi‑Entity) | Compares metrics across multiple entities such as regions, channels, stores, or time periods. | Compare NPS across regions. |
Trend or Temporal Analysis | Analyzes how a metric changes over time, including growth, decline, or historical comparisons. | How has NPS changed since last month? |
Qualitative Analysis | Analyzes open‑text responses to surface themes, patterns, and representative quotes. | What do customers complain about the most? |
Segmentation or Breakdown | Breaks down metrics across defined segments such as region, role, customer type, or store tier. | Show CSAT by region. |
Hierarchical Drill‑Down | Drills into a specific sub‑population or nested group within the data. | Show sentiment for detractors. |
Composite or Correlation Analysis | Explores relationships and correlations between multiple metrics. | How does sentiment correlate with NPS? |
Note: The Diagnostic (Why Analysis) feature, which assists in identifying statistically supported drivers or root causes for a change or outcome, will be supported starting from 26.4.1.
Key points to note
We do not currently support Root Cause or Why-analysis. (Planned for 26.4)
The system does not accommodate qualitative or verbatim-based insights, such as themes, open-text exploration, and emerging topics. (Planned for 26.4)
Queries for summarization, including summaries of widgets, dashboards, or tabs, are not supported.
Copilot does not support queries that are survey-independent or at a meta-level (e.g., "Which survey has the most responses?"). A specific survey context is mandatory for Copilot to function.
The Dashboard RowScope represents a limitation. Therefore, when Copilot is initiated from a Custom Dashboard, it is unable to access the complete survey dataset.
While leveraging the complete survey dataset, Analytics Copilot consistently adheres to masking, filters, permissions, and the specified time range.
In all Copilot outputs, masked fields retain their masked state.
Unless the user explicitly chooses a survey during the clarification phase, summarization across multiple surveys will not be performed.
You can enable or disable CFM Co-Pilot for the platform from Sprinklr AI+ Studio. Refer to this article for more details.