Years
2022-present
This is an active area of research & development for myself and my team, and started in 2022 with a pilot program currently running with some of our biggest brands, many of whom collect millions of comments from customer surveys each year.
We’re using commercial and open source models to guide analysis along a path that conforms to our survey formats and expected outcomes, and to keep results sufficiently truthful and specific.
The primary value proposition for our current generation of AI customer satisfaction looks like this:
- Discover hidden insights in customer feedback: Our AI goes beyond traditional NLP and keyword-matching techniques to reveal valuable, actionable insights that might otherwise remain unnoticed.
- Empower CX teams to prioritize effectively: By identifying the priority and impact of various themes, our AI helps CX teams make data-driven decisions that positively influence customer satisfaction, revenue, and retention.
- Evaluate the success of implemented changes: Monitor your strategic decisions in real-time to ensure they deliver the desired outcomes, and adjust as needed to optimize results.
- Stay ahead with continuous learning and adaptation: Our AI consistently updates its algorithms and knowledge base, keeping your business at the forefront of industry trends and best practices without requiring additional effort.
- Enhance customer loyalty and attract new clients: Our AI insights can help brands create tailored customer experiences that foster loyalty, encourages repeat business, and drives word-of-mouth referrals.
- Save time and resources: Quickly access comprehensive analyses that would otherwise take in-house teams months or incur significant consulting fees, enabling your team to focus on implementing improvements and elevating your business to new heights.
