Flags

What Are Flags?

Flags are a structured way to categorize and monitor the themes, risks, or topics that matter most to your organization. When survey responses, customer feedback, or scraped data are processed, Flags help you quickly identify patterns, emerging issues, and areas that require attention.

A Flag functions as a high-level label (e.g., “Mobile App Issues” or “Customer Support Quality”), while Sub-Flags allow you to drill down into more specific details (e.g., “Login failures,” “Long wait times,” “Agent professionalism”). By applying Flags consistently across multiple surveys and datasets, you create a unified taxonomy that enables:

• Faster detection of risk signals

• Richer analytics at both broad and granular levels

• Reliable tracking of recurring issues over time

• Cross-survey comparisons and trend analysis

Flags ensure that every piece of feedback—no matter how unstructured—is turned into actionable insight.

How Flags Work

1. Activate Flagging

Once you create a survey or upload a data seat you will have the option to add flags

2. Create a Flag

Each Flag represents a risk you want to monitor or a topic you want to track. You can create your own, or choose form our selected list.

3. Add a Subflag (optional)

Sub-Flags allow you to break a broader topic into more specific, actionable categories. To use Sub-Flags, you can either:

• Create a new custom flag and add your own sub-flags, or

• Continue with the predefined sub-flags offered by the system.

Examples of Sub-Flags:

Click “Add Custom” to create sub-flags tailored to your needs.

• Flag: Mobile App Issues

  • Sub-Flags: “Login failure,” “Slow loading,” “Biometric errors”

• Flag: Customer Support Experience

  • Sub-Flags: “Long wait times,” “Unhelpful agent,” “Incomplete resolution”

• Flag: Loan Application Journey

  • Sub-Flags: “Document upload issues,” “Approval delays,” “Confusing criteria”

Best Practices

• Keep Flags broad, and use Sub-Flags for precision.

• Create a consistent taxonomy early and reuse it across surveys.

• Use automated tagging to ensure every response is categorized.

• Review Flag analytics periodically to archive unused themes.

• Add new Flags when new issues emerge in your data.

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