# Ask Lyra

Your front door to customer intelligence.

Written by Mikhail Dubov  
March 19, 2026

## **What is Ask Lyra?**

**Ask Lyra is our copilot for getting customer insights. Simply ask a question about your customers in plain English and get instant, data-backed answers.**

Powered by our proprietary Lyra AI technology, it works like a knowledgeable team member who knows everything about your customer feedback. No need to build reports or analyze data yourself – just ask and get the insights you need.

### **Turn questions into instant, data-backed answers**

Ask Lyra can answer both qualitative and quantitative questions.

**Qualitative questions** explore how customers think, feel, and talk about specific subjects — perfect for understanding sentiment, identifying pain points, and discovering what matters to customers across different segments, time periods, and data sources. For example:

- "What issues are iOS users reporting with the mobile app?"
- "What challenges do users have with setting up integrations?"
- "What do US customers think about our return policy?"

**Quantitative questions** are ideal when you need precision and numbers — from tracking scores and trends to understanding the volume of feedback across markets, teams, and time periods. For example:

- "What was our NPS in Q3?"
- "How many people have complained about customer service?"
- "How much feedback have we had about the loyalty program this quarter?"

# **How does it work?**

Lyra interprets your question and selects all of the necessary filters and search terms required to find the right dataset to answer your question. Every answer includes a digestible summary (_Highlights_) plus a list of specific customer issues (_Observations_) you can act on.

Selecting a Highlight takes you to a dedicated page which contains a more granular summary and aggregated snippets of the selected Observations. From here, you can visualize the insights using pre-built but customisable charts - one for metrics, another for breakdowns. You can also save the whole page as a quick dashboard for sharing with stakeholders.

# **Start with these proven questions**

Check out the example questions below to see how teams like yours are using Ask Lyra to uncover customer insights.

## **Product Managers**

- "What is our NPS?"
- "What's the NPS score for onboarding?"
- "How many customers have mentioned sign-up issues this quarter?"
- "What is the volume of feedback about the app?"
- "What do return users think about the new checkout process?"
- "What do users think about the notifications?"
- "What issues are iOS users reporting with the mobile app?"
- "What do users find confusing about our interface?"
- "What did users say about our onboarding process in Q2?"
- “What are customers saying about [Product]?"

## **CX Managers**

- "What is the average NPS by month for the last 6 months?"
- "What do customers like about the cooking experience? Look at the last 6 months for Trustpilot only."
- "How much feedback have we had about the loyalty program this quarter?"
- "What are customers saying about our delivery experience via social channels?"
- "What are the main reasons customers contact support?"
- "What do customers love most about our customer service?"
- "What complaints do US customers have about our return policy?"

## **Operations Teams**

- "What feedback do we have from UK retailers in the past week?"
- "What are the top billing problems customers are experiencing?"
- "What complaints are Chrome users making about the website?"
- "What are customers saying about delivery timing?"
- "What issues are customers reporting with account access?"
- "How often do customers talk about shipping in the last 6 months?"
- "What is the net sentiment for product quality over the last 3 months?

## **Insights Managers**

- "How many complaints about pricing did we receive in the last 90 days?"
- "What do customers say about our pricing?"
- "Why are customers mentioning our competitors?"
- "What do customers think about our brand positioning?"
- "What are customers saying about our loyalty program?"
- "What feedback trends are emerging this quarter?"

## **Marketing Teams**

- "How much feedback have we had about the loyalty programme this quarter?"
- "What aspects of our product get the most praise?"
- "What are customers saying about our recent campaign?"
- "What do customers like about our messaging?"
- "What do customers think about our brand compared to competitors?"
- "What are customers saying about our content?"

## **UX Designers**

- "How many customers have mentioned sign-up issues this quarter?"
- "What is the NPS for the checkout experience?"
- "What usability issues are customers reporting?"
- "What do customers find confusing about our interface?"
- "Which parts of the user experience get positive feedback?"
- "What are customers saying about our navigation?"
- "What did users say about our onboarding process in Q2?"