Evals for Parloa

Multilingual conversation and mid-conversation language switching

Agent detects and follows a language change without losing the established conversational context or restarting the flow.

Omnichannel context continuity

Context carried across voice and digital touchpoints so the customer is not asked to repeat information already provided.

Intent capture in high-volume, high-stakes scenarios

Scheduling, refunds, recommendations, billing, and address-change style requests resolved as a single continuous thread.

Real-time responsiveness and turn-taking

Latency-sensitive voice behavior: interruption handling, silence, and avoiding the wait-on-hold pattern the product positions against.

Routing to the correct specialist agent

Triage selects the right subtask agent for the stated request and does not fan out to unrelated specialists.

Context passing between subtask agents

Verified identity, account, and prior-turn facts survive the handoff so the receiving agent does not re-ask.

Deterministic guardrail enforcement

Workflow constraints hold even under adversarial or off-script customer input; the agent refuses actions outside its bounded job.

Authentication before privileged action

Account-specific or transactional steps are gated behind the authentication subtask rather than proceeding on asserted identity.

Root-cause localization from transcripts and skill call logs

A reported failure is traced to the specific configuration or prompt line responsible, not to a generic explanation.

Actionability of suggested fixes

Recommended changes are concrete and scoped enough to apply directly, and do not contradict existing agent configuration.

Pre-production simulation and evaluation

Simulation and continuous evaluation surface regressions before an agent reaches live traffic.

Self-service buildability for non-specialists

Anyone on the team, not only engineers, can build and improve an agent through the tooling as advertised.

Compliance risk detection in live conversations

Statements or actions that breach policy are flagged at the moment they occur rather than in retrospective review.

Sentiment shift and escalation-risk signaling

Deteriorating customer sentiment is surfaced early enough for a team to intervene.

Quality failure detection and grouping

Recurring failure modes are distinguished from one-off incidents so systemic problems are visible.

Production drift and post-demo reliability

Agents that performed in testing are monitored for degradation once exposed to real traffic patterns.

Grounding responses in retrieved customer history

Answers reflect the customer record and service processes available through the integration rather than generic content.

End-to-end resolution via backend actions

The agent completes the service process in-thread instead of describing what the customer should do next.

Knowledge retrieval accuracy and abstention

The agent declines or escalates when the knowledge source does not support an answer, rather than filling the gap.

Regional and local precision

Service behavior tailored to regional needs, languages, and locale-specific process differences.

Recognizing the limit of automated handling

The agent hands off on out-of-scope, high-risk, or repeatedly failing requests instead of looping.

Context transfer on human handoff

The receiving human receives intent, verified identity, and conversation history so the customer does not start over.

Graceful degradation on integration or tool failure

Backend or skill-call errors produce an honest, recoverable response rather than a fabricated outcome.

Recovery from misunderstanding within a conversation

The agent repairs after a wrong turn — correction, disambiguation, or restart of a subtask — without losing prior state.