Contact Center Sentiment Analysis
Know How Every Caller Felt, On Every Call You Record.
HoduCC Sentiment Analysis reads tone, word choice and the flow of a conversation to score customer sentiment on every recorded call. Supervisors see which conversations ended badly, QA teams review every call instead of a sample, and CX leaders get sentiment data they can trend, compare and act on.
Talk to a sentiment analysis expert
A working session with a CX analytics specialist, mapped to your call volumes, queues and quality program.
Trusted by contact centers in banking, retail, aviation and public service
Awards and recognition
Capterra Shortlist 2026 
Software Advice Front Runners 2026 
GetApp Category Leaders 2025 
Software Suggest 
Globee Awards 2023 Gold Winner – Information Technology 
Unified Communications Product of the Year 2023 
Internet Telephony Excellence Award 2023 
NXTGEN BPO Confex and Awards 2023 
CIO Insider – Top 10 UC Providers 2023 
Digital.com Best Telemarketing Software 
Indian Achievers Award 2021 
Customer Contact Center Technology Award 2021 
UBS Forums How it works
What Is Contact Center Sentiment Analysis, And How Does It Work?
Sentiment analysis for contact centers uses AI to read the emotion behind a conversation, classifying each moment as positive, neutral or negative and scoring the call as a whole. It turns thousands of hours of audio into a signal your supervisors and CX leaders can act on.
HoduCC transcribes each call through Speech Analytics, then evaluates what was said and how it was said: word choice, pace, interruptions, raised voices and long silences. Customer and agent each get their own sentiment track, so you can see the exact moment a conversation turned and what the agent did next. Scores, summaries and flags land in the call record and the In-Built CRM, not in a separate tool.
Key highlights
- Scores sentiment on every recorded call once it ends
- Tracks customer and agent sentiment separately, moment by moment
- Flags negative conversations for supervisor and QA review
- Analyzes every conversation, not a QA sample
- Writes scores and summaries to the In-Built CRM and your external CRM
- Links every score to the call recording and transcript
| Last 1,000 calls | Calls | Sentiment | Share |
|---|---|---|---|
| Closed on a positive note | 468 | Positive | |
| Issue resolved, tone steady | 271 | Neutral | |
| Turned from negative to positive | 139 | Recovered | |
| Still negative at close | 122 | Flagged |
Every call is scored. Only the last row needs a person to follow up.
Business case
Why Contact Centers Choose HoduCC For Sentiment Analysis
Customer sentiment analysis earns its place when it changes what happens on the next call, not when it fills another dashboard. HoduCC puts the signal in front of the people who can act on it.
- Better customer experienceFind the conversations where customers left unhappy, the same day rather than in next month’s survey, and follow up before it becomes a complaint or a cancellation.
- Stronger agent performanceCoach on real moments from real calls. Agents see where a conversation turned and which responses brought it back.
- Complete quality coverageEvery conversation is analyzed against the same criteria, so QA results reflect the whole operation rather than a sample.
- Insight that reaches the businessSentiment by product, campaign, queue and call reason shows leadership what is driving complaints, churn and loyalty.
- Performance monitoringSupervisors review sentiment across queues and agents every day and spend their time on the calls that genuinely need attention.
- Intelligent call routingSentiment history informs routing, so a customer who left the last call unhappy can reach a senior agent first.
This is the third time I’m calling about the same thing.
I can see both earlier calls. Let me sort it out for you right now.
Okay, that’s genuinely helpful. Thank you.
recovered from −0.52
Inside HoduCC
Four Views Run Sentiment Analysis Across The Operation
Sentiment overview, call review, coaching and reporting sit in one contact center platform, so sentiment data never has to be exported, reconciled or rebuilt somewhere else.
One platform, one login
Sentiment, recordings, transcripts, QA and reporting share the same platform as your queues and agents, with one set of user roles across all of it.
Walk through it with usSee how sentiment is moving across every queue
Once a call ends, it is transcribed and scored. The overview brings every analyzed call together by queue, agent and call reason, and pins the most negative conversations to the top, so supervisors and QA leads know exactly where to start.
- Sentiment per call, scored once the conversation is complete.
- Review thresholds set by queue, campaign or customer tier.
- Negative-call lists ordered by severity for follow-up.
- Queue-level sentiment to spot a problem before it spreads.
Calls below the review threshold stay pinned to the top until a supervisor marks them reviewed.
Replay the exact moment a conversation turned
Every analyzed call opens on a sentiment timeline aligned with the transcript and recording. Click a dip and you hear what caused it. Click a recovery and you hear what fixed it. The AI summary sits above it all, so reviewers know the story before they press play.
- Customer and agent tracks scored separately across the call.
- Transcript-linked playback that jumps to any flagged moment.
- AI call summary with reason, outcome and next step.
- Keyword markers for phrases such as cancel, complaint or manager.
Times are clickable in the product and open the recording at that point.
Coach on real moments, from every call, not a sample
Call center sentiment analysis gives QA teams full coverage. Instead of scoring a handful of random recordings, analysts start with the calls sentiment has already flagged, and trainers build sessions around the moments that actually changed the outcome.
- Flagged-call queues for QA, ordered by severity.
- Sentiment on scorecards next to your existing QA criteria.
- Agent comparisons on the same queue and call type.
- Before-and-after tracking to see if coaching moved the score.
Show leadership what is driving customer sentiment
Sentiment reports break results down by queue, campaign, call reason, product and agent, so CX and operations leaders can see where experience is improving, where it is slipping, and which topics sit behind the change.
- Sentiment trends by day, week, queue and campaign.
- Driver analysis linking sentiment to call reasons and keywords.
- Survey correlation against post-call CSAT results.
- Scheduled exports for leadership and BI teams.
| Top call reason | Calls | Net sentiment | Trend |
|---|---|---|---|
| Billing and fees | 6,420 | −0.12 | Slipping |
| Card replacement | 3,880 | +0.41 | Improving |
| Policy renewal | 3,150 | +0.52 | Steady |
| Delivery status | 2,710 | +0.08 | Flat |
Core capabilities
Sentiment Analysis Features Built For Enterprise Contact Centers
Everything below runs inside the HoduCC platform, on the same recordings, users and reporting your contact center already works with.
Customer Sentiment Scoring
Every recorded call receives an overall sentiment score and a positive, neutral or negative label once the conversation ends.
Historical Call Analysis
Analyze older recordings with the same model, for baselines, campaign reviews and complaint investigations.
Speech-to-Text Transcription
Convert every conversation into searchable text, the foundation for accurate sentiment, keyword and topic analysis.
AI Call Summaries
A short written summary of reason, outcome and next step, attached to the call record after every conversation.
Speaker-Level Analysis
Customer and agent sentiment are scored separately, so you can see who drove the change in tone and when.
Keyword and Phrase Tracking
Track phrases such as cancel, complaint or speak to a manager, and see how they line up with sentiment shifts.
Negative Call Flagging
Set review thresholds by queue or customer tier so negative calls land in front of the right team lead for follow-up.
Sentiment Trend Reporting
Follow sentiment by day, queue, campaign, call reason and agent, and export it for leadership and BI teams.
Sentiment-Aware Call Routing
Use sentiment history to send returning, unhappy customers to senior agents or retention queues first.
In-Built CRM Sync
Sentiment score and call summary are written to the customer record in the HoduCC In-Built CRM automatically.
Survey and CSAT Correlation
Compare detected sentiment with post-call survey results to validate scores and find the gaps between them.
Call Recording and Playback
Every sentiment score is tied to the recording, with playback that jumps straight to the flagged moment.
AI in the conversation
Sentiment Is One Signal. HoduCC AI Reads The Rest Of The Call.
Sentiment tells you how a customer felt. The rest of the HoduCC AI layer tells you what was said, why they called and how well the call was handled.
Speech Analytics
Transcription, keyword detection and topic analysis across every call, the base layer sentiment analysis is built on.
Conversation Summaries
A written summary of what was said and agreed, attached to the call record once the conversation ends.
Call Quality Scoring
Scores conversations on quality, outcome and compliance across the whole operation rather than a sampled handful.
Auto Categorization
Calls are classified by intent and outcome automatically, so reporting does not depend on what each agent remembers to tag.
Topic and Keyword Detection
Finds the products, issues and phrases that come up most, and shows how each one lines up with customer sentiment.
Not sure where to start?
We will walk through how each capability fits your QA, coaching and CX reporting.
Integrations
Put Customer Sentiment Where Your Teams Already Work.
Sentiment scores and call summaries flow into the HoduCC In-Built CRM and into Salesforce, Zoho, Microsoft Dynamics 365, HubSpot, Pipedrive, Bitrix24, Zendesk or Freshdesk, alongside your telephony, messaging and business systems.
CRM
Sentiment and summaries on the customer record.
Telephony
Analyze calls from your existing trunks and carriers.
Messaging and omnichannel
Follow up on a flagged call in the channel the customer prefers.
Quality and surveys
Sentiment alongside the measures your QA team already uses.
Business applications
Third-party systems specific to your operation.
APIs
Programmatic access for enterprise IT and BI teams.
Need a custom integration? That is a normal request in an enterprise engagement.
Security and governance
Sentiment Analysis With Data Protection Built In
Conversation data is some of the most sensitive information a business holds. HoduCC gives you configurable controls over who hears it, who sees it and how long it is kept.
These controls support your data protection and compliance program. They do not replace it, and they are not legal advice. Businesses remain responsible for the privacy and call recording obligations that apply in their own jurisdiction.
Talk To Our Compliance ExpertCustomer proof
Hear From HoduSoft Customers
Organizations that run their customer conversations on HoduSoft platforms, in their own words.
We've worked with HoduSoft since 2017 and it has been an incredible journey. The support team always prioritizes our needs.
Two years in, it has been a fruitful relationship. The products and the innovative solutions have been excellent.
Want to hear it from a peer?
We can arrange a reference conversation with a HoduSoft customer in your industry, as part of your evaluation.
Request a referenceImplementation
Go Live With Sentiment Analysis Without Disrupting The Floor.
Rollout is planned around your queues, recordings and QA program, and calibrated against your own calls before any call is flagged for review.
Assess
Call volumes, queues, languages, recording setup and the outcomes you want to measure.
Configure
Sentiment thresholds, keyword lists, review rules, scorecards and report views.
Integrate
In-Built CRM, external CRM, telephony, surveys and BI exports.
Calibrate
Scores checked against a sample of your own calls and tuned with your QA team.
Go live
Roll out by queue, site or line of business, with your QA team involved from day one.
Optimize
Thresholds, keywords and coaching plans refined as sentiment data builds up.
Evaluation
Sentiment Analysis Questions Buyers Ask Us
Contact center sentiment analysis uses AI to identify the emotion in customer conversations, classifying speech as positive, neutral or negative and scoring each call as a whole. HoduCC applies it to every recorded call, so supervisors, QA teams and CX leaders can see how customers feel at scale, not just what they said.
Each call is first converted to text through speech recognition. The AI then evaluates word choice, phrasing and conversational signals such as interruptions, pace and silence, and assigns sentiment to each speaker across the timeline of the call. The output is a moment-by-moment sentiment track and an overall score, stored with the call record.
Speech analytics is the broader capability: transcribing calls, detecting keywords and topics, and summarizing conversations. Sentiment analysis is one layer within it, focused specifically on emotion and attitude. In HoduCC both run on the same platform, so every call carries its transcript, summary and sentiment score together.
No. HoduCC Sentiment Analysis works on recorded calls once they end. Each conversation is transcribed, scored and summarized after the call, and negative calls are flagged for supervisor and QA review, so follow-up can happen while the issue is still fresh.
Yes. Historical recordings can be analyzed as well, which is useful for building a baseline, reviewing a completed campaign or investigating a complaint. Older calls are scored with the same model as recent ones, so the results are directly comparable.
Accuracy depends on audio quality, language, accent and how closely the model is calibrated to your operation. HoduCC is calibrated during implementation against a sample of your own calls, and keyword lists and alert thresholds can be refined over time. Sentiment works best as a strong signal for prioritizing human review rather than a verdict on its own.
Supervisors use it to find the calls that need follow-up. QA teams use it to review every call rather than a sample. Trainers use it to coach on real moments from real conversations. CX and product leaders use sentiment trend reports to understand what is driving complaints, churn and loyalty.
Yes. Each call shows where sentiment shifted and what the agent said around that point. Trainers can build coaching sessions from real examples, compare agents working the same queue, and track whether sentiment scores improve after coaching.
Yes. Sentiment scores, call summaries and outcomes can be written to the HoduCC In-Built CRM and to CRMs including Salesforce, Zoho, Microsoft Dynamics 365, HubSpot, Pipedrive, Bitrix24, Zendesk or Freshdesk, so every customer record reflects how the last conversation actually went.
Any operation where the quality of a conversation affects retention, revenue or regulatory standing: banking and financial services, insurance, healthcare, telecom, collections, e-commerce, BPOs and public sector service lines.
HoduSoft is certified to ISO 27001:2022 and ISO 9001:2015. HoduCC supports encryption, role-based access, configurable recording retention and full audit trails. Businesses remain responsible for the privacy and call recording obligations in their own jurisdiction.
No. It changes where QA time goes. Instead of listening to a random sample, analysts start with the calls that matter most, flagged by sentiment, and spend their time on judgement and coaching rather than on searching for the right recording.
Yes. Sentiment history can inform routing rules, for example sending a customer whose last interaction ended negatively straight to a senior agent or a retention queue.
Turn Every Conversation Into A Signal You Can Act On
Score customer sentiment on every call, point supervisors to the conversations that need follow-up, and give QA and CX leaders the evidence they need. It runs inside HoduCC Contact Center Software, alongside your queues, recordings and In-Built CRM.