Analysis for machines, relationships for humans

In this blog, we share our vision of tomorrow's customer relationships: how conversational analysis is revolutionizing Quality Monitoring, how AI decodes the voice of the customer, and most importantly, how to transform these insights into memorable experiences.
➜ Strategies, feedback, and innovations: everything you need to elevate your customer experience.


<b>The evaluation debrief</b>: turning a score into a coaching moment

An evaluation is only worth what you do with it. The debrief turns a score into a coaching moment: a traced exchange between the manager and the advisor around an evaluation, where each one expresses themselves and the manager can adjust criteria during the session. Because the AI evaluates 100% of conversations, managers finally coach on real, complete data. Closing a debrief locks the evaluation: the decision is shared, owned and traced. With modification and contestation, the debrief completes the human conversation around the AI analysis.

<b>Contesting a criterion</b>: the advisor's right of reply to their evaluation

In most quality monitoring setups, the evaluated person never had a say. Contesting a criterion gives the advisor a structured right of reply: they propose the value they believe is fair on a criterion of their own evaluation, justify it, and a manager arbitrates (validate or reject). The AI analysis stays the common base, the advisor's request and the manager's decision are added to it, traced. Not to be confused with deactivating a whole evaluation. The right of reply, a sign of mature, shared quality monitoring.

<b>Modifying an evaluation</b>: the manager's perspective that completes the AI analysis

An AI-produced evaluation is not an automatic verdict: it is an objective, exhaustive base on which a human decision rests. Modifying an evaluation lets a manager adjust the score of any criterion by bringing their perspective: the context, the knowledge of the team, the specific situation. The AI analysis stays visible, the human perception is added next to it, every decision is traced, and the final score feeds the dialogue with the advisor. The human at the heart of AI quality monitoring.

<b>Deactivating an evaluation</b>: set a conversation aside from your quality monitoring, without losing it

Raisetalk lets you deactivate an evaluation: an administrator or a supervisor can set an evaluation aside from quality monitoring when it should not count (poor recording quality, customer GDPR request, out-of-scope conversation, wrong attribution). A deactivated evaluation disappears from the list, reporting, exports and searches, but nothing is deleted: the action is reversible, validated by an administrator and fully traced.

<b>Built-in Support in Raisetalk</b>: your users' voice, listened to like your customers'

Raisetalk now ships with its own built-in support module: every user creates and tracks their requests from the application, without email or third-party tool, with discussion thread, statuses and notifications. Partners become the first-level support of their clients, with priorities, internal notes and total isolation. Because a quality monitoring tool that analyses the voice of the customer owes it to itself to listen to the voice of its users.

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