Inquiry Analytics: Turning Patient Questions Into Better Instructions

Blog · October 13, 2026

Every question a patient asks is a signal about your instructions. Inquiry Analytics groups those questions by topic so care teams can see what is unclear and fix it at the source.

When a patient asks a question about their instructions, they are telling you something about the instructions. One question is an individual concern. The same question from twenty patients is a gap in the content.

Inquiry Analytics is how Vervi surfaces that signal.

How Questions Become Topics

Every question patients ask the AI assistant is classified into a topic for the instruction it relates to, such as Pain Management, Wound Care, Bathing, or Activity Restrictions. Similar questions land in the same topic even when patients phrase them differently.

Each question is also labeled by how it relates to the content: missing information the instruction does not cover, an unclear instruction that covers it but confused the patient, a complex clinical question that belongs with the care team, or a general clarification. Questions are prioritized by severity, so the ones that matter most rise to the top.

For each instruction, providers can see:

• The top inquiry themes across all patients who received it, using anonymized questions.
• Breakdowns by inquiry type and severity, so it is clear whether the fix is new content or clearer wording.
• Recommendations for improving the instruction, which the Vervi agent can apply for you to review in the builder.
• A downloadable report for quality meetings or sharing with colleagues.

Actionable Patterns

A few patterns are worth acting on:

• Many "unclear instruction" questions on one topic. The content is there but hard to find or hard to understand. Move it higher, give it a clearer heading, or break it into steps.
• "Missing information" questions. Patients need something you have not written yet. Add a section or an FAQ.
• Questions that cluster at a specific point in recovery. If questions about swelling spike on day three, a playbook timepoint on day two can answer them before they are asked.

Continuous Improvement

The workflow is intentionally simple:

1. Open Inquiry Analytics and pick an instruction with many questions.
2. Review its top themes and how each is classified.
3. Edit the relevant section yourself, or let the agent apply a recommendation and review the change.
4. Check whether that theme keeps coming up for patients who receive the updated version.

Over time, the instructions that generate the most questions become the clearest ones in the library.

Privacy-First Design

Inquiry Analytics is about improving content, not monitoring individual patients. Questions are anonymized and reports focus on themes for each instruction, and patient question data is handled under the same privacy and security controls as the rest of the platform.

Getting Started

Inquiry Analytics is available in the provider workspace on Solo and Practice plans. The more patients receive an instruction, the clearer its patterns become, so it is most useful for your highest-volume procedures first.

Questions

What is Inquiry Analytics in Vervi?

Inquiry Analytics groups the questions patients ask the AI assistant into topics for each instruction, so providers can see which parts of their instructions generate the most confusion.

How should a care team use patient question data?

Look for topics that recur across many patients, then clarify that section of the instruction. Fewer repeat questions on a topic after an edit is a sign the change worked.

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