Outcome, with confidence
Routes the record: green, yellow and red can go to different places, and your CRM views and workflows can filter on it.
Leave one workflow and your number. The AI identifies itself, asks a few focused questions and prepares a structured brief.
Not a transcript dump. Each conversation becomes a structured record: what the caller wanted, what happened, how certain the outcome is and what should happen next. That record feeds the CRM, dashboards and reports in one outcome standard.
After the form, DRING calls in two minutes, identifies itself and qualifies the workflow. See the callback flow.
Voice, WhatsApp or chat, inbound or outbound: every call becomes one structured record, comparable across a support line and a sales campaign. Read together, the records surface market and management signals. For a single call, After-call workflows turn the outcome into the next step.
Routes the record: green, yellow and red can go to different places, and your CRM views and workflows can filter on it.
Ranked on the dashboard and in the performance report, so you can see why calls end the way they do.
Shown next to the outcome and followed as a trend over the period. It stays a label and is never turned into a score.
Tells the follow-up what to do: another call or message, a handover or do-not-call. After-call workflows can carry it out.
The first thing a teammate reads after a handover. Warning flags put a call in front of a person for review.
CSAT or NPS only when the customer was asked. Call quality, intent strength and conversion likelihood are derived by Score.
Outcome status is defined by the agent's purpose, not by mood. That is why a support line at one customer and a support line at another can be compared, and why a sales agent is never judged like a survey agent.
| Agent type | Purpose | Green | Yellow | Red |
|---|---|---|---|---|
| Qualification | Collect information and interest | Planned information collected, weak or strong lead alike | Half the information, "later", undecided | Clear "not interested" or "do not call" |
| Appointment | Get a booking or an informed acceptance | Booked, or invitation accepted with understanding | Undecided, wrong person, mechanical yes | "I do not want an appointment" |
| Support | Resolve the issue by AI | Resolved, customer closed the call | Not resolved, ticket or transfer | Rare: explicit "never call about this again" |
| Survey | Collect answers | Core question block completed | Availability problem, block incomplete | Refusal to take part |
| HR interview or reference | Collect candidate or referee information | Required items completed, regardless of verdict | Required field missing, consent not obtained | Declined to take part |
| Notification | Deliver a message to the right person | Delivered and acknowledged | Not reached, wrong person, voicemail | "Stop these notifications" |
| Booking or confirmation | Complete or confirm a transaction | Completed and confirmed | Information missing, technical failure | Customer declined |
| Collection or cancellation | Complete the requested action | Completed | Hesitation, terms unclear | Refused |
One red outcome is one call. A cluster of red under the same campaign or lead source is a different signal: it says something about where the call came from, not about how the agent handled it.
The same pattern also cleans up the record behind it: see how DRING writes back cleaner CRM data after every call.
Volumes, answer rates, outcome distribution, sentiment, handover rate, top reason tags and delivery signals, per agent and per line, updated as calls end. Filters for campaign, period, language and channel. Drift alerts when an agent's outcome mix leaves its expected range.
Alongside the dashboards, your account team sends a written performance report on the cadence agreed for your account. Two sections in the same order every time, so trends are easy to see.
Total interactions, reached or answered, green share and sentiment split. Plus one sentence that sums up the period.
Volumes by day and hour, answer or reach rates, unique customers and contact frequency, channel split, after-hours share.
Outcome distribution against the agent's standard, reason-tag ranking, handover reasons, sentiment trend, and recommendations you can act on, each with its expected effect.
Each recommendation names the observation, the metric behind it, the action and the expected effect. If it cannot point to a number in the report, it stays out.
The report, the dashboard and the CRM fields use one metric dictionary and one outcome standard. A number in the report can be traced to the calls behind it.
A single call answers one customer. Read across a line, a campaign or a market, the same calls become market and management signals: what customers ask for, where friction sits and what your team should do next. Each signal traces back to the source calls.
Findings stay inspectable: volume, period, confidence and representative language, never a black-box headline. Confirmed learnings can feed the next release from Agent Factory, the way DRING builds, tests and improves agents.
Questions, objections and compliments, by intent, region, language, channel or segment.
A price question separated from a price objection, tracked with timing and competitor references.
Repeated feature language turned into a ranked signal, with confidence and source calls.
Themes compared across lines and teams: demand shifts and new terminology.
Handovers and lookups that consume time, assigned to the right workflow.
Volume, period, confidence and, where permitted, a path to the call.
The end-of-call record is delivered by webhook or email, written to your CRM through Connect, and kept on the DRING dashboards. Your fields can be added per agent as extra analysis items. Across current production workloads, DRING handles approximately 300,000 customer conversations per month.
The conversation is analyzed against the agent's outcome standard and your extra fields.
Webhook, email or CRM write-back, with outcome conditions so green, yellow and red can go to different places.
Per agent and per line, with drift alerts to DRING first and to you when action is needed.
The same structure every time, with recommendations and the actions we took.
Outcome labels are reviewed against human QA criteria. Disagreements feed the calibration set, and the test pipeline checks for drift before a controlled release.
Yes. Extra analysis items are defined per agent with a name and a short instruction, and appear in the record, the webhook and the dashboards.
No. Insights reports outcomes, reasons and labels. Scores such as CSAT, NPS and call quality come from Score and appear on the same dashboards.
No. A CSAT value is recorded only when the customer was asked and gave a number. Sentiment is a label, positive, neutral or negative, and is never turned into a score.
Yes: webhooks per call, CSV exports from the dashboards, and the performance report as PDF. Recordings and transcripts follow the retention set in your contract.
Leave your number and DRING calls you in two minutes to understand your reporting needs. Then we walk you through an anonymized performance report.