Quality of Experience means understanding the entire customer journey, not just the agent conversation. Conviva connects what the customer wanted, how the conversation unfolded, and what happened inside and outside the chat in real time.
Track intent as it evolves across the conversation, not just whether the agent produced an answer.
Follow sentiment across the interaction to spot frustration even when the response itself scores well.
Connect the conversation to the surrounding customer journey, including search, cart, purchases, tickets, escalation, correction, and abandonment.
Start with these out of the box. Build custom experience metrics around the behaviors that matter to your business.
How long does it take before the agent actually understands what the customer wants? More turns mean more friction, more wasted tokens, and higher cost.
How often does the customer have to repeat or restate the request? A high ratio signals unnecessary effort and a frustrating experience.
When does the customer quietly work around the agent and search for the answer themselves? That behavior signals lost trust and a higher risk of abandonment.
When does the customer settle for less than they originally asked for? The interaction may look successful while conversion value drops.
Sampling can hide the smaller failures that cost you customers. Conviva delivers full-census AI agent analytics across every interaction in real time, backed by 20 years of Quality of Experience expertise at massive scale.
Capturing customer behavior
Processed in real time
In experience intelligence
Testing can tell you whether an agent behaves as you expected. Conviva shows you how it actually performs with real customers, when conversion, cost, satisfaction, and retention are on the line.
Spot the interactions that look successful but still end in no purchase, lower basket size, or abandonment. Fix what’s getting in the way of conversion.
Cut unnecessary turns, retries, escalations, and wasted tokens by fixing the specific failure rather than tuning the whole agent. Know when you can route to a lower-cost model without sacrificing the customer experience.
Catch frustration, correction, verification, and silent failure before they become poor CSAT or churn.
Find interactions that looked successful but still ended in no purchase, lower basket size, or abandonment.
See the impact, then narrow it by customer type, intent, behavior, device, or outcome until you find what’s driving it.
Turn insights into targeted changes to prompts, context, tools, or models, then feed them back into the agent.