Chattermill

Get answers to all your CX, product, and marketing questions with generative AI.

generative AI customer experience product insights marketing insights team collaboration business insights

Tool Information

Primary Task	Team collaboration
Category	communication-and-support
Sub Categories	customer-analytics business-intelligence
Country	United Kingdom

Copilot AI is an innovation built to reshape the way team members collaborate and work. The tool leverages the power of generative artificial intelligence to provide answers to questions related to customer experience (CX), product, and marketing. Its primary aim is to enhance team alignment, efficiency, and productivity. Users have the ability to ask any type of question and quickly receive business insights, fostering a higher level of cross-team collaboration and prioritization of quality work. Copilot AI is equipped with a user-friendly interface and auto-generated visualizations making it straightforward for everyone to use. This tool quantifies results, measures the scope of customer issues, and predicts business impact, functioning like a dedicated team of experts providing insights 24/7. The tool goes an extra mile to ensure its insights are trustworthy and verified, courtesy of direct customer quotes that offer solid evidence for every detail. It also comprises enterprise-level security, compliance measures, and automated personal identifiable information (PII) removal. Finally, Copilot AI integrates with popular tools such as Slack, Jira, and Notion, facilitating seamless communication and sharing of insights without disturbing ongoing work.

Chattermill is a London-based company founded in 2015 by Mikhail Dubov and Dmitry Isupov. It specializes in a Customer Experience Intelligence platform that uses artificial intelligence to analyze customer feedback from various sources, including surveys, reviews, and social media. The platform helps businesses gain a deeper understanding of customer experiences, which can enhance retention and loyalty.

The Chattermill platform offers unified feedback analysis, combining data from multiple sources to provide a comprehensive view of customer experiences. It employs AI-driven insights to identify patterns and trends in feedback, enabling businesses to make informed decisions. Key features include customizable solutions and sentiment analysis capabilities to gauge customer emotions and opinions. Chattermill serves a range of customer-centric companies, including Uber, HelloFresh, and Wise, and has partnered with brands like Amazon. The company has raised $34.8 million in funding and operates in sectors such as eCommerce, retail, finance, travel, and marketplaces.

Pros
Enhances team alignment Improves efficiency and productivity Ability to ask any question Quick response with business insights Fosters cross-team collaboration Promotes quality work prioritization User-friendly interface Auto-generated data visualizations Quantifies results Measures customer issue scope Predicts business impact Functions like dedicated experts team 24/7 insights provision Trustworthy verified insights Direct customer quotes for evidence Enterprise-level security Compliance measures Automated PII removal Integrates with Slack Jira Notion Facilitates seamless communication Non-disturbing sharing of insights

Cons
Limited integration options Potential lack of customization Dependent on direct customer quotes Possibly complex for non-technical users Dependent on predefined business insights Unspecified data limits No detailed privacy controls Lack of offline functionality

Management Team

Dmitry Isupov

Co-Founder, Chief Strategy & Insights Officer

Luke Moore

Chief Revenue Officer

Frequently Asked Questions

1. What is the main purpose of Chattermill Copilot AI?

The main purpose of Chattermill Copilot AI is to reshape the way team members collaborate and work. Leveraging the power of generative artificial intelligence, it provides answers to questions related to customer experience, product, and marketing with a primary aim to enhance team alignment, efficiency, and productivity.

2. How does Chattermill Copilot AI use generative AI?

Chattermill Copilot AI uses generative AI to provide answers to a wide range of questions related to customer experience, product, and marketing. The generative AI also facilitates the production of business insights, quantifiable results, and predictions concerning business impact with remarkable speed.

3. Can Chattermill Copilot AI help with product insights?

Yes, Chattermill Copilot AI supports gaining product insights. It uses generative AI to return insights on all sorts of queries, including those related to products. This makes it easier for product teams to make informed decisions based on precise and instant insights.

4. What kind of questions can I ask Chattermill Copilot AI?

You can ask Chattermill Copilot AI any type of question. The tool uses its generative AI capabilities to provide answers to queries related to customer experience, products, marketing, and more. The wide-reaching capabilities of this AI make it a versatile and valuable tool for a range of business scenarios.

5. How does Chattermill Copilot AI enhance team collaboration?

Chattermill Copilot AI enhances team collaboration by providing a platform where team members can quickly and accurately get answers to their questions. This fosters a higher level of cross-team collaboration and enables the prioritization of quality work, leading to improved efficiency.

6. Does Chattermill Copilot AI offer data visualization?

Yes, Chattermill Copilot AI does offer data visualization. The tool comes with a user-friendly interface and auto-generated visualizations, making the insights it provides easy to understand and share.

7. How does Chattermill Copilot AI boost efficiency and productivity in teams?

Chattermill Copilot AI boosts efficiency and productivity in teams by giving quick access to important business insights. This allows teams to spend less time searching for information and more time focusing on their core responsibilities. The tool also improves alignment and collaboration within teams.

8. Does Chattermill Copilot AI provide answers round the clock?

Yes, Chattermill Copilot AI provides answers round the clock. It functions like a dedicated team of experts providing insights 24/7, offering the advantage of continuous support and insights availability.

9. How does Chattermill Copilot AI verify its insights?

Chattermill Copilot AI verifies its insights by providing direct customer quotes that serve as evidence for every detail. This ensures that the insights it generates are trustworthy and verified.

10. What security measures are in place for Chattermill Copilot AI?

Chattermill Copilot AI has enterprise-level security measures in place. Although the specifics aren't mentioned, the term 'enterprise-level security' typically includes measures such as secure data storage, encryption, data access control, regular security audits, and more.

11. Does Chattermill Copilot AI have automated PII removal?

Yes, Chattermill Copilot AI includes automated personal identifiable information (PII) removal among its features. This ensures privacy and compliance with data protection regulations.

12. Can Chattermill Copilot AI integrate with tools like Slack, Jira, and Notion?

Yes, Chattermill Copilot AI can be integrated with popular tools like Slack, Jira, and Notion. This capability facilitates seamless communication and the sharing of insights without disrupting ongoing work.

13. Is Chattermill Copilot AI user-friendly for non-tech savvy users?

Yes, Chattermill Copilot AI is designed to be user-friendly and accessible for all users, regardless of their technological proficiency. It offers a user-friendly interface and auto-generated visualizations which make it straightforward for everyone to use.

14. How does Chattermill Copilot AI predict business impact?

Chattermill Copilot AI predicts business impacts by measuring the scope of customer issues and quantifying the results. By analyzing and understanding these data points, the tool can predict potential business impacts and provide valuable insights for decision-making.

15. Does Chattermill Copilot AI provide insights into customer experience?

Chattermill Copilot AI provides insights into customer experience by answering relevant queries and generating insights based on customers' direct quotes. This allows organizations to measure, understand, and improve the experience of their customers.

16. Do the outputs of Chattermill Copilot AI include direct customer quotes?

Yes, the outputs of Chattermill Copilot AI include direct customer quotes. These serve as solid evidence for each detail, leading to verified and trustworthy insights.

17. What type of insights does Chattermill Copilot AI provide for marketing questions?

Chattermill Copilot AI provides insights for marketing questions by using generative AI to process and understand queries related to marketing. It then generates accurate and trustworthy insights based on that understanding, which can be used to inform marketing decisions.

18. How does Chattermill Copilot AI affect cross-team collaboration?

Chattermill Copilot AI has a positive impact on cross-team collaboration by promoting shared understanding and alignment. It provides crucial business insights quickly to all team members, facilitating active collaboration, and consensus-driven decision-making.

19. How does Chattermill Copilot AI facilitate the sharing of insights without disrupting work?

Chattermill Copilot AI facilitates the sharing of insights without disrupting work by integrating with popular tools such as Slack, Jira, and Notion. These integrations enable seamless communication and sharing of insights, promoting efficient workflow and collaboration without interruption.

20. What kind of compliance measures does Chattermill Copilot AI have?

Whilst specific compliance measures are not explicitly mentioned, Chattermill Copilot AI provides automated PII removal, indicating that data privacy and compliance regulations are taken into account. Beyond this, it's stated to have 'enterprise-level security' and 'compliance measures', suggesting a comprehensive approach to data compliance and security.