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?"