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Use cases

Call quality monitoring

With CONTACT.WORK, you know how every call went – even the ones nobody listened to. Speech analytics scores each conversation against your standards and, by morning, flags the calls where an agent broke the script or the customer hung up unhappy. Your QA team reviews only those. Complaints are checked against the recording, and when a call gets tough, a supervisor can coach the agent or take over.

100%of calls scoredWhen each voice is on its own track
from $0.015per minute of call scoringCloud plan; on your own server, no per-minute fees
3ways to help on a callListen, whisper, or take over
Anyphone systemWe can score recordings from your own PBX

Challenges

Common problems with manual QA

Only a handful of calls get reviewedReviewers can listen to only a small share of recordings, so most violations go unnoticed.
Nothing to check a complaint againstThe customer says they were promised a discount, and finding that one call among hundreds of recordings takes half a day.
Scores depend on the reviewerTwo reviewers give the same call different scores, and agents stop trusting QA.
New hires learn on customersA new agent's mistakes surface weeks later, after unhappy customers have already left.
Required phrases get skippedAn agent forgets the recording notice or promises too much, and your company faces a complaint.
Reviews that change nothingFeedback is given verbally, and a month later no one can tell whether the agent improved.

Solution

What you get

Scoring

One standard for every call

Speech analytics transcribes each conversation and scores it against your weighted criteria. A step counts even if the agent put it in their own words, and every score comes with a quote from the call.

  • Weighted QA scorecard
  • Meaning-based scoring
  • Quote for every score

Alerts

Problem calls flagged automatically

If an agent skips a critical step, the supervisor gets an alert right away. Each morning, a review list is ready: violations, unhappy customers, and repeat calls about the same issue.

  • Critical miss
  • Unhappy customer
  • Repeat calls

Live calls

Mistakes fixed before the call ends

A supervisor joins the line silently and can listen, whisper to the agent so only the agent hears, or take the call over. Agents can also call in a supervisor with one button.

  • Listen
  • Whisper
  • Barge-in

Search

Complaints checked in minutes

Find a recording and its transcript by the caller's number or by words spoken on the call, and it opens at the right moment. AI writes a short summary, so you don't have to listen to the whole call. You decide how long recordings are kept.

  • By number
  • By keyword
  • Call summary

Coaching

Agents improve and scores get more accurate

Agents see their scores with explanations; supervisors see how each agent's results change over time. Strong calls become examples for new hires, and scores corrected by supervisors are used to fine-tune the model.

  • Own scores
  • Trends
  • Example calls

Examples

Four situations for your QA team

How it worked before and how it works now.

The customer is sure they were promised a discount

A customer says the agent promised a discount, but it isn't on the bill. Before, someone searched the call log for the recording and listened to the agent's entire shift. Now the call is found by the customer's phone number, the transcript jumps straight to the right moment, and it's clear no discount was promised. The customer gets an answer right away, and the agent isn't pulled off the line. If the agent did overpromise, it's on the same recording, and the conversation with them is based on facts.

  • Search by number
  • The exact line
  • Fast reply
Example 1 of 4

You decide what counts as a violation and when to send an alert; we set it up at launch.

Features

What else is included in quality monitoring

What gets checked, how scores are set, how agents are trained, and how they get help on a live call.

What gets checked

  • All call typesInbound and outbound customer calls are checked, as well as internal calls between employees.
  • Written conversationsEmails and chat messages are checked just as strictly as calls.
  • Your recording archiveAt launch, your existing archive is checked too, so you know where to start.
  • Recordings from your PBXCalls from any phone system work, as long as the voices are recorded on separate tracks (dual-channel recording).
  • Talk-time ratioSee how long the agent talked versus the customer, and where the call dragged on.
  • Call topicsEach call is tagged with a topic, and you see which topics are growing.
  • Customer sentimentSee how the customer's mood shifted and the exact line where the conflict started.
  • Competitor mentionsCalls that mention a competitor or a key service go straight to review.
  • Sales stagescustomized for youA report shows exactly where in the conversation agents lose customers.

How scoring works

  • Manual scoring alongside AIReviewers can score calls themselves on the same form. Reports show which scores came from AI and which from a person.
  • Reviewer calibrationSeveral reviewers score the same call, and the system compares their scores and highlights the gaps.
  • Testing a new scorecardA revised scorecard is tested on past recordings first, and only then do its scores count.
  • Auto-fail on critical violationsMiss a critical item, and the whole call fails, no matter how well the rest went.
  • Customer rating alongsideAfter the call, the customer leaves a rating, and calls rated low by both the customer and the reviewer are reviewed first.
  • Self-assessmentAgents score their own calls and then compare with the supervisor's score.
  • Scores in the summaryAn agent's QA score sits next to their other metrics in one summary.
  • Branches and departmentsCompare call quality across branches and departments.

Training and oversight

  • Training assignmentscustomized for youAfter a review, the supervisor assigns a task and sees whether it was completed and whether scores changed.
  • Scores and resultscustomized for youSee whether an agent's sales and customer ratings went up after training.
  • Leaderboards and contestsEveryone sees where they rank among peers, and top results are visible to all.
  • Results in your CRMThrough the API, the score, topic, and call summary are saved to the right customer record in your CRM.
  • Call translationcustomized for youCalls in another language are translated so a supervisor can review them.
  • Audit logThe system logs who listened to calls and who changed scores.
  • Personal data redactionCard numbers, ID details, and other personal customer information are hidden in transcripts.

During the call

  • AI assistant suggestionsBased on the call topic, the AI assistant instantly shows the agent the right article and the next script step.
  • "Call a supervisor" buttonWhen a conversation gets difficult, the agent asks a supervisor for help with one click.
  • Broadcast announcementsSupervisors send announcements to agents or the team, for example about a new rule.
  • Chat with a supervisorAgents ask a supervisor a question in chat without interrupting the customer call.
QA reviews only the problem callsThe system scores every call against your requirements and queues up the ones with violations or unhappy customers. Your QA team no longer has to listen to everything.
Complaints resolved in one dayFind the call by the customer's phone number or by words from the complaint, and hear what the agent actually said. Your reply to the customer is based on the recording.
Tough calls saved mid-conversationA supervisor joins silently and coaches the agent or takes over the conversation. Conflicts get defused before the customer hangs up.
Agents learn from their own mistakesEach agent sees their own scores and comments with quotes from the call; supervisors see week-by-week trends. Train on real mistakes and see whether the training worked.

Launch

Implementation step by step

  1. 01AssessmentWe look at how calls are reviewed today: who listens, by what rules, and how many calls get scored.
  2. 02ChecklistWith your reviewers, we build the QA scorecard: call steps, their weights, required phrases, and prohibited language.
  3. 03RecordingsWe confirm the agent and customer are recorded separately and connect your PBX if calls go through it.
  4. 04Pilot scoringWe score a sample of past recordings, compare the results with your reviewers' scores, and refine the criteria where they differ.
  5. 05AccessWe set up roles: who can see recordings and scores, and who can join calls and coach.
  6. 06Go-liveWe turn on scoring for every call and the morning review list. Disputed scores help refine the scorecard.

Preparation

What to decide in advance

What should a good call sound like?List the required steps and what agents must never say – the scorecard is built from this.
Where are calls recorded?Tell us your phone system: calls can be scored only when each side of the call is recorded separately.
Who handles score reviews?Decide who settles disputed scores and who is allowed to join live calls.
How long should recordings be kept?Set how long recordings and transcripts are kept – the system enforces it from there.
Where should speech recognition run?Consider which works better for you: the cloud with per-minute billing or your own hardware.

Q&A

Frequently asked questions

Can you score calls from our PBX?

As long as your PBX records each side of the call separately. The platform's built-in telephony works that way out of the box. You can score recordings from past months, too.

Are chats and emails scored?

They're scored against the same criteria as calls. The separate-track requirement doesn't apply to written conversations.

How much does call scoring cost?

In our cloud, call scoring costs from $0.015 per minute. On your own server, there are no per-minute fees. Launch and scorecard setup are done by our support team and billed hourly under your support plan.

Will a step count if the agent says it in their own words?

The system looks at meaning, so exact wording isn't required. A supervisor can correct a wrong score manually, and the correction is used for fine-tuning.

How do we get reviewers to score consistently?

Use calibration: several reviewers score the same call, and the system shows where their scores differ. You review the gaps and refine the scorecard.

Will the customer hear the supervisor?

When a supervisor listens or whispers, the customer can't hear them. If the supervisor takes over, the customer continues the conversation with them.

Can agents see their own scores?

Agents see their scores along with comments and quotes, so they can work through mistakes on their own or with a supervisor.

Is it worth it for a small team?

Call scoring, call search, and live supervisor coaching are useful even with just a few agents.

Glossary

Terms on this page

Supervisor
Leads a team of agents: watches the queue and quality, helps and coaches. Learn more →
Whisper coaching
Supervisor coaching that only the agent can hear. Learn more →
IP PBX
A company phone system that runs over the internet and your local network. Learn more →
Model fine-tuning
An existing model is trained further on company materials so it speaks the company's language. Learn more →
Speech analytics
The system analyzes recorded calls automatically: topics, script adherence, customer emotions. Learn more →
Cloud deployment (cloud)
The platform runs on the vendor's servers, and agents connect over the internet. Learn more →
Dual-channel recording
Each speaker is recorded on a separate track. Learn more →
CRM – customer relationship management
Where a company keeps its customers, deals, and full communication history. Learn more →
Contact center quality management
Calls and chats are scored against a scorecard to find mistakes and coach agents. Learn more →
Sentiment analysis
The system automatically detects whether a customer is happy or frustrated. Learn more →
API (application programming interface)
The way programs exchange data with each other without a person in the loop. Learn more →
Customer record
The screen of customer data an agent sees during a conversation. Learn more →
Personal data
Anything that points to a specific person: a name, a number, a voice. Learn more →
Agent assist
Suggests answers from the knowledge base to the agent during a conversation. Learn more →
Speech-to-text
Turns spoken conversation into text. Learn more →

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