Resolution Rate
The percentage of customer issues solved by an AI or automated system without needing human help.
Resolution rate measures how often a customer's problem gets fixed by an automated system, like a chatbot, on the first try. It's a key way companies see if their AI customer service is actually working.
For example, if 100 customers contact a company with a question, and the AI chatbot successfully answers and resolves the issue for 70 of them without a human agent stepping in, the resolution rate is 70%. A higher rate means the AI is more effective at solving problems quickly.
Resolution rate quantifies the effectiveness of automated customer support systems, typically chatbots or virtual agents, in resolving customer inquiries without human intervention. It is calculated as the number of successfully resolved interactions divided by the total number of interactions handled by the automated system.
High resolution rates indicate efficient AI deployment, reducing operational costs and improving customer satisfaction. However, the definition can vary; some metrics include issues escalated to humans but resolved by them, while others strictly measure first-contact resolution by the AI alone. The context of the metric is crucial for accurate interpretation.
OpenAI's use of GPT-4 to improve customer service highlights the growing trend of advanced AI models tackling complex support tasks. This focus on resolution rates shows companies are prioritizing measurable outcomes and efficiency gains from AI in customer-facing applications.
- Using GPT-4 to deliver a new customer service standardOpenAI · OpenAI News ·
- OpenAI ChatGPT
- OpenAI's GPT-4 is being used by companies like Ada to boost customer service resolution rates, indicating their models are applied to improve this metric.
- Customer Satisfaction
- This measures how happy customers are with the service th
- First Contact Resolution
- This is similar but specifically refers to resolving t
- Containment Rate
- This measures the percentage of interactions handled entirely
The term 'resolution rate' originates from the customer service industry to measure the success of support interactions. Its application has expanded with the rise of AI chatbots and virtual agents.
Use ChatGPT or another AI assistant to ask a common question you might have about a product or service. See if the AI provides a clear, actionable answer that solves your query without needing to search further or ask a human.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
- HeuristicDouble coding agent task completion with docs linksProviding coding agents with a documentation link significantly increases their task completion rate. · 2 min
Questions people ask
- What is a good resolution rate?
- A 'good' resolution rate varies by industry and complexity of issues, but generally, rates above 70-80% are considered strong for automated systems.
- Does resolution rate include human help?
- It depends on the definition used. Some metrics focus only on AI-solved issues, while others count an issue as resolved if a human agent eventually fixes it after AI interaction.
First seen on Subvolts Sep 5, 2024. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.