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.


The management report in flight, with a coral line pointing to a single point

Management report for a contact center: what to present to the executive committee

Every contact center has numbers, almost none has the document that tells its leadership where to act first. What a management report should contain, in seven elements, why it almost never exists, and how Raisetalk produces it in under a minute across every evaluated conversation: the trajectory of each team, the voice of the customer, and a mechanics page that traces what precedes a complaint as well as what closes a sale. What is failing, and also what is working and worth building on. As a PDF in your company's colors, available in beta.

Automated report scheduling in Raisetalk

Scheduled reports: everyone gets their own

Sending a report on a schedule used to be a weekly chore, and everyone received the same document. A Schedule button now appears on the report, the Discovery answer, the My alerts page and the connections journal. It captures the view and its filters, then recomputes the document for each recipient according to their own visibility scope: one schedule is enough to equip a whole team.

Call duration analysis by team

Call duration: what the average leaves out

A team that clears half its calls in thirty seconds and spends twenty minutes on the other half shows the same average duration as a perfectly steady team. A new report shows the full distribution, team by team, in six bands computed from your own conversations. Each block carries its share and its volume, and opens the matching conversations in one click.

The My quality alerts page in Raisetalk

Quality alerts: they don't all call for the same attention

An alert about a churn risk must interrupt whoever receives it. A monitoring alert only needs to be seen. The delivery mode is now chosen rule by rule: by email as before, or straight into Raisetalk with no email at all. Every alert that fires is kept and available on a dedicated page, with an unread badge in the menu. Next up: a single email gathering the alerts of the period.

Tuning a quality scorecard before rollout

Quality scorecard: testing and tuning it before you roll it out

A quality scorecard is tuned, not written in one sitting: until a criterion has run on real conversations, nobody truly knows what it measures. Re-evaluation lets you replay a framework under construction on conversations that are already scored, read what each criterion actually detects, and fix it before rolling it out. The same mechanism prepares a full overhaul: re-score a sample with the new scorecard, measure the gap with the old one, and know your new baseline before you have switched anything.

Evaluation debrief between a manager and an agent

The evaluation debrief: 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.

An agent disputing an evaluation criterion

Contesting a criterion: 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.

A manager editing an evaluation

Modifying an evaluation: 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.

Deactivating an evaluation in Raisetalk

Deactivating an evaluation: 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.

Support module built into Raisetalk

Built-in Support in Raisetalk: 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.

Quality monitoring in a call centre

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