Sentiment Analysis
Positive, neutral or negative on every analyzed call, in a field of its own, so finding yesterday's bad ones is a filter rather than an afternoon. It is a verdict on a finished call, not a needle moving while somebody is still talking.
Sentiment on the day's calls
stamping- Dana WhitlowSupport4:12negative
- Ben OseiNew business2:38positive
- Priya RamanBilling3:04neutral
- Tom FerrarSupport7:05negative
- Ray WhitfieldBilling0:11analysing
- Alina CruzNew business3:19analysing
- Marta LangSupport5:52analysing
Product figures from the platform’s own defaults - not customer averages
How it works.
Three words, matched rather than trusted
What comes back is trimmed, lowercased and then matched against positive, neutral and negative. A fourth word is not filed under protest: it fails, the reading repeats, and the column keeps whatever it already held.
One word for the call, in a column of its own
Nothing is produced per speaker, per minute or per turn. There is one field, twenty characters wide, holding one word, which is exactly why you can filter on it directly instead of it having to be worked out again every time somebody asks.
The bad ones become a filter, not a listening exercise
The call list takes one of the three alongside the analysis state and a score floor, finds the analyzes that match, then narrows the calls to those. That lookup is deliberately bounded, so a very wide range answers with a bounded set.
Counted for each person overnight
An overnight rollup tallies the three values per agent for the previous day and also averages them numerically, positive at one and negative at zero. That is what lets two weeks read as one figure per person without walking every call again.
One moment in every read.
Every read passes through the same seven. Sentiment Analysis is the lit one, and everything either side of it is a different page in this category.
- 01Source
the call or the thread it reads
- 02Transcribe
audio into words, with speakers
- 03Read
the pass over the whole of it
- 04Judge
the score, the sentiment, the intent
- 05Extract
the fields and follow-ups pulled out
- 06Write
what lands back on the record
- 07Review
a person checking the machine
The specifics.
7 facts- Values
- positive, neutral, negative. Case and whitespace forgiven, a fourth word is not
- Granularity
- One reading for the call. Nothing per speaker, per turn, or across its length
- Very short calls
- Take neutral by instruction rather than a guess at what was probably meant
- Filtering
- On the call list, combined with the analysis state and a minimum overall score
- Lookup ceiling
- Five thousand analyzes in one pass on the sentiment and score filters, fifty thousand on the not-yet-analyzed one. Past either, the answer is quietly short rather than flagged
- Not the same as
- How the interaction landed. Tonality is how each side sounded saying it
- Alerting
- None. A negative is something you ask for, not something pushed at anyone
What it reads, and what reads it.
Nothing here invents its input. These are where the material comes from, and where the verdict goes afterward.
More in Intelligence
12 capabilitiesAI that proposes edits to the record - an insight becomes a field once you accept it.
A supervisor who used to open the audio reads it instead: what the call was about, how it went, what was asked for, what it scored. One reading, one answer.
Nothing on an existing lead moves by itself. What the call gave up arrives as proposed edits, each with the value it would replace and the words it came from.
Nobody re-listens to check the disclosure went out. Every call is scored against what compliance means on your floor, with a missing one excluded, not passed.
What the customer asked for and what your agent promised, kept as two lists, because they are two different obligations and only one of them is yours to keep.
A promise made out loud is worth nothing until it sits on a day. Callbacks and meetings come off the call with the time said, real the moment you accept.
A coaching note never quotes the customer back at a rep who did not say it. Four of six engines return the channel each side was on, one control swaps them.
A collections call and an admissions call are not judged the same way. Fifteen verticals ship knowing the difference. What comes back still reads the same.
A thread is read only when somebody on it is one of your leads. No match and nothing is sent anywhere, so mail that is not about a customer is left alone.
A draft or a rewrite that lands in the composer and stops there. The subject is a suggestion, every word editable, and nothing leaves until a person sends it.
The field group you would otherwise build one field at a time. Describe what you track or paste a spreadsheet's columns, then approve or refuse each field.
Type the list you want and it builds the filter and the sort. Then it says in one sentence what it understood: a filter nobody typed has to say what it did.
OpenAI, Azure, Anthropic, Gemini, Bedrock and ten more. When one starts timing out mid-afternoon the work moves down the chain rather than stopping on you.
The rest of the platform.
Five more categories, all on the same record and the same bill. Each card names three of its capabilities, so you can tell from here whether it is worth opening.
Intelligence
See sentiment analysis on your own floor.
Thirty minutes, your numbers and your data. We will set sentiment analysis up live and you can decide from the thing itself rather than from this page.
14-day trial · no card · migration included