unleash the power of your customer data
AI that hears what your customers want
Continuously detect product themes, customer preferences, competitor
considerations and more in every customer engagement.
turn every word into an opportunity
make smarter product decisions
Continuous trait
detection, everywhere
Continuously detect key product signals in every customer engagement, including calls, chats, and more, to prioritize product development and drive timely improvements.
Predictive insights and
customer intelligence
Leverage predictive insights about product usage, customer satisfaction, and purchase considerations to drive strategic decisions and enhance customer experiences.
amplify your existing tools and processes
85%
of product teams experience a reduction in churn rate with Frame AI
30%
increase in feature adoption with Frame AI
integrate with your existing data structure.
Unify
Consolidate unstructured customer data from various sources to create a single, comprehensive view of user interactions and feedback.
Detect
Identify key patterns, trends, and anomalies within the unified data to uncover hidden product-related insights and emerging issues.
Analyze
Utilize advanced analytics to delve deeper into the detected insights, understanding user behavior and pinpointing opportunities for product enhancement.
Activate
Translate analytical insights into actionable strategies, informing the development roadmap and driving impactful product improvements.
Unify
Consolidate unstructured customer data from various sources to create a single, comprehensive view of user interactions and feedback.
Detect
Identify key patterns, trends, and anomalies within the unified data to uncover hidden product-related insights and emerging issues.
Analyze
Utilize advanced analytics to delve deeper into the detected insights, understanding user behavior and pinpointing opportunities for product enhancement.
Activate
Translate analytical insights into actionable strategies, informing the development roadmap and driving impactful product improvements.
your ai pipeline
for customer intelligence
Accelerate and improve decision-making with a robust AI pipeline for customer intelligence. Unlock organic and meaningful insights shared in natural language interactions to drive customer satisfaction and product innovation.
CONTINUOUS DETECTION
Detect key product signals from every customer interaction, including calls and chats, to prioritize development and drive timely improvements.
RISKS AND INTERVENTIONS
Identify product risks and initiate targeted interventions to prioritize fixes and enhance customer satisfaction.
BUILD A FLEXIBLE AI STRATEGY
Build a flexible AI strategy to adapt to evolving product needs and continuously drive better product decisions.
industry
leaders
giving their
data a voice
Frame AI helps the world’s biggest companies stay ahead of risk.
PROACTIVE TOOLS FOR
accelerated resolution
Leverage real-time data, predictive insights, and automated workflows to consistently enhance product quality and customer satisfaction.
Consistent, Actionable Insights
Frame AI unifies and analyzes unstructured customer data, providing deep insights into user behavior and preferences, which drive informed product development decisions.
Optimize Development Resources
By detecting and prioritizing key trends and user needs, Frame AI helps focus development resources on the most impactful features and improvements, accelerating time to market.
Improve the Impact of Iteration
Frame AI activates strategic improvements by continuously testing and refining the product based on user feedback and performance data, ensuring ongoing enhancement and user satisfaction.
Works how you work
Leverage customer support interactions to gather insights that inform product improvements and feature development
Analyze CRM data to uncover product feedback trends and enhance the product roadmap with customer-driven insights
Utilize support data to identify recurring product issues and enhance the user experience through continuous feedback
Unify large datasets to generate actionable product insights, driving data-informed decision-making for product teams
Capture customer feedback to identify key areas for product enhancement and align features with user needs
Analyze customer experience data to inform product decisions, ensuring features align with user expectations and demands
Analyze sales and support conversations to extract actionable insights for product improvements and feature prioritization
Track product usage patterns to drive data-informed product development and prioritize features based on user behavior
Leverage product analytics to identify user behaviors and trends, enabling more informed product decisions and optimizations
Frequently asked
questions
How does Frame AI help product leaders prioritize development and resource allocation?
By analyzing unstructured data in real-time, Frame AI uncovers critical insights and trends that highlight the most impactful areas for improvement. This quantification allows product leaders to make data-driven decisions, ensuring that resources are allocated to high-priority enhancements and optimizations. By focusing on issues that have the most significant cost implications, Frame AI enables product teams to maximize efficiency, streamline development processes, and deliver features and fixes that drive the most value for customers.
What types of unstructured data does Frame AI analyze to improve product quality and user experience?
Frame AI analyzes support tickets, calls, and emails which provide detailed information on recurring issues and common pain points, helping to identify critical bugs or features that require attention. By synthesizing these data sources, Frame AI identifies key trends and areas for improvement, enabling product teams to make informed decisions that enhance overall product quality and user experience.
How can Frame AI trigger actions based on product feedback and customer sentiment?
Frame AI can trigger actions based on key indicators like predicted CSAT scores, escalation risk, and churn risk. For instance, if the analysis detects a recurring issue with a feature, Frame AI can trigger an alert to the product team to prioritize a bug fix. Similarly, if customer sentiment indicates high satisfaction with a new feature, this feedback can prompt further development or enhancements. By providing real-time insights and alerts, Frame AI ensures that product teams can take targeted actions, such as implementing feature updates, addressing critical bugs, or refining user experience, ultimately leading to a more responsive and customer-focused product development process.
How does Frame AI integrate with existing product management tools?
Frame AI integrates seamlessly with existing product management tools such as Jira, Trello, and Asana. This integration process involves securely linking Frame AI’s advanced analytics capabilities with the product management system, allowing real-time data flow between the two. Frame AI enriches the data within these systems by analyzing unstructured customer interactions, such as support tickets, calls, and emails, and extracting valuable insights related to customer sentiment, recurring issues, and feature requests. These insights are then automatically fed into the product management tools, enhancing the existing data with deeper, context-rich information. This seamless integration enables product teams to have a more holistic view of customer feedback and pain points, leading to more informed decision-making and prioritization of development efforts.
How does Frame AI measure impact and ROI?
Frame AI measures impact and ROI by integrating seamlessly with your existing metrics and performance indicators, eliminating the need for new measurement frameworks. By enhancing your current data with deeper insights and more granular analysis, Frame AI quantifies the cost and benefit of each issue and action through solutions like Dynamic Cost Attribution. This allows businesses to track improvements in key areas such as CSAT scores, escalation reduction, and resource allocation efficiency. By participating in existing ROI measurements, Frame AI ensures that you can clearly see the value added by its advanced analytics and proactive insights, demonstrating tangible improvements in operational performance and customer satisfaction.
THE LATEST
Forbes: Can Small and Mid-Size Banks Survive AI?
In today’s consumer banking landscape, small- and mid-sized banks, once valued for local relationships, are facing new challenges as customers prioritize digital convenience. With major banks investing billions in AI to enhance personalization and efficiency, smaller institutions are feeling the pressure to keep up. AI presents an opportunity for these banks to restore and amplify their hallmark of personalized service. By outsourcing AI capabilities through cloud banking providers, these banks can improve customer experience, automate routine inquiries, and focus resources on meaningful customer connections. This strategic blend of technology and human touch can help smaller banks regain a competitive edge in a crowded market.
How AI is Accelerating the Hybridization of Sales and Marketing
Customers no longer follow a linear path from marketing outreach to sales conversion. The fragmentation of the customer journey has created a critical business problem: ensuring a seamless and personalized experience across all touchpoints. To compete on engagement, companies have begun collapsing the traditional boundaries between sales and marketing. AI is accelerating this shift by synthesizing new data from various channels and enabling more precise targeting that aligns sales and marketing efforts around customer needs.
What Else Can AI Do For CX?
CX leaders are figuring out how to leverage AI to transform core parts of their operations. Frame AI CEO George Davis recently joined a panel at Arthur AI Fest to weigh in on where to find impact beyond chatbot-style automation. Thinking about build vs.buy? What it means to “tailor AI” to specific business needs? Check out a summary of George’s insights below and stay tuned for Part 2.
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