The AI kit for Customer Experience Managers

Finds pain points across feedback and journeys, then recommends fixes. Example: shows checkout confusion drives 30 percent of repeat contacts.

Builds journey maps, personas and emotion maps from your data. Example: a persona for first-time buyers who abandon at setup.

Turns raw reviews, surveys and tickets into sentiment, topics and trends. Example: tags 500 reviews and ranks the top five complaints.

Creates an end-to-end map with stages, touchpoints, emotions, pain points and opportunities. Example: a six-stage map for a subscription renewal flow.

Like "Draft a Customer Journey Map Outline"

Like "Analyze Open-Ended Survey Responses"

Like "Cluster Complaints into Pain Points"

Like "Draft Customer Experience Improvement Plan"

Every promise made to a customer is tracked until there is proof it was kept.

Every recurring complaint leads to a verified operational fix.

Give agents and customers one accurate message during an outage and keep it up to date.

Make sure every customer who asked for something hears back when it ships or is declined.

Let your AI build and manage Perspective AI conversation agents, then read and act on what people said.

Lets your AI read and write your Gmail, Calendar, Drive, Docs, Sheets and more, all from one chat.

Lets your AI search Twitter and read your home timeline, then sum it up for you.

Lets your AI read, write, and format your Google Sheets for you, right from the chat.

UserWise helps businesses collect and analyze customer feedback across multiple channels, automatically detecting sentiment, summarizing insights, tracking tren

ReviewNicely empowers businesses to gather and analyze customer feedback effortlessly. With features like customizable surveys and real-time reporting, it helps

Feedback Rivers centralizes customer feedback from all channels into a single system, making insights visible and actionable. Improve your product and customer

MonkeyLearn is a no-code platform that transforms customer feedback into actionable insights. Utilize pre-built and custom machine learning models to visualize

Build this to turn scattered reviews, tickets and surveys into one prioritized insight list your product team will act on.

Build this to cut the time spent turning collected feedback into reviewed findings with every claim linked to its source.

Build this to shorten handling time and keep context, with every support answer traceable to a source document.

Build this to organize evidence by problem and customer segment, so you can see which issue affects which group.

Maps customer journeys, finds pain points, and suggests improvements from your data.

Turns customer feedback into actionable insights and responses for customer success managers.

Predict churn, segment at-risk customers, and generate retention actions from your customer data.

Uncover what customers actually think, feel, and struggle with through analysis of transcripts, surveys, reviews, and online communities.