Call center reporting software from every conversation: why customers call, which come back, where the time goes.

Yes: the reporting layer for what was said on the calls. Dashboards with fast filters, custom charts with formulas and benchmark lines, funnels, and executive boards that combine charts, meters, tables and topics in one view; a click on any chart opens the conversations behind it. A scheduled email delivers the dashboard as PDF or HTML at the interval you set, in minutes, hours or days; any filtered set of conversations exports to Excel, with summaries; a REST API feeds your BI tool. The difference from an ACD or CCaaS report is the source: those count calls, queues and times; Ender Turing reports the content of the calls and joins it to the same queues and CRM statuses.

Reporting — the guide →

The ones that come from the conversation: why customers called (topics), repeat contacts and first contact resolution from your own data, average handle time with the talk ratio, silence and cross-talk inside it, customer satisfaction at the start and the end of every conversation, AutoQA scores on 100% of conversations, and script adherence on the phrases your process requires. Each one groups by agent, team, queue, topic, CRM status and period, with the previous period behind it. Queue KPIs such as service level, average speed of answer and abandonment stay in your telephony platform's report; Ender Turing shows why they moved.

Contact center KPIs — the guide →

Start from the question the report has to answer. How many calls arrived and how long they waited is a capacity question, and the reports in your telephony platform answer it. Why customers call, which of them come back and what happens inside the calls is a content question. For that, check four things: whether every conversation is covered or a sample, whether a number opens the conversations behind it, whether the reports arrive on schedule without an analyst, and whether the price per agent is published. Ender Turing covers 100% of conversations, a click on any chart opens the calls behind it, boards and scheduled reports go out on their own, and the price is public: free for up to 5 agents, then $39 or $79 per agent per month.

Pricing →

It turns every call, chat and email into operations data the moment it ends: the topic (why the customer contacted you), whether it was a repeat contact, how long it took and where the silence was, how satisfied the customer sounded at the start and at the end, and whether the agent covered what the process requires. Operations managers use it to see the reasons behind volume, cut repeat contacts, find the minutes lost inside calls, and replace hand-built weekly reports with boards, scheduled reports and automations — in any language.

Topics categorize every conversation — by generative AI, by rules, or by your own labels — and appear in filters, dashboards, charts, boards and funnels. A chart grouped by topic and week shows which reason grew; grouping by queue, CRM status or customer shows where. You start from the contact-center templates installed on sign-up and adjust the categories to your business; topic accuracy is tracked so you know how far to trust the numbers.

Topics — the guide →

Yes. You define what counts as a repeat contact — the same customer coming back, optionally through the same queue, after a previous call of at least a given length that ended a given way — and Ender Turing links each conversation to the customer's previous one and stores the interval between them. The Conversations view filters by that interval (for example, calls whose previous call was within four hours) and opens the whole chain. First contact resolution is read from the resolved and not-resolved values in your incoming data and is available as a chart grouping.

Repetitive calls — the guide →

Yes — from 100% of conversations instead of the few who answer a survey. Topics show what customers contact you about and how that changes week to week; customer satisfaction is estimated from the dialogue at the start and the end of every conversation, so you see which topics, processes and agents move it; interaction intensity shows where conversations get tense; Discovery finds every mention of a product, a competitor or a phrase across all transcripts. Automatic summaries and EnderGPT turn thousands of conversations into an answer the product or process owner can act on.

Customer behavior analytics →

Your telephony platform reports how many calls arrived, how long they waited, how long they took and where they were routed. It does not know what was said. Ender Turing analyzes the conversation itself — the reason, the repeat contact, the silence, the promise, the satisfaction — and groups it by the same queue names and CRM statuses your platform already sends, so the two views line up. Keep the platform report for capacity; use Ender Turing for the why.

It is a service-level target: 80% of calls answered within 20 seconds. Your telephony platform measures it per queue and interval. It tells you how long customers waited, not why they called or whether the call solved the problem; Ender Turing adds that from the same calls: the reason, the repeat contact and the time inside the call.

Call center service level — the guide →

Usually four layers: a contact center platform (ACD or CCaaS) that routes, queues and records the calls; a CRM or helpdesk for the customer record; workforce management for forecasts and schedules; and a quality and analytics layer on top. Ender Turing is that last layer. It connects to the platform you already run, through apps for Genesys Cloud, Five9 and Zendesk, a browser extension that records calls on 18 browser-based platforms, the REST API, SFTP or upload, and nothing is written back to your telephony platform.

Integrations →

Compare on the same things you would compare any operations tool on: how many conversations are covered (Ender Turing analyzes 100%), how fast a new floor gets numbers (a workspace in minutes with contact-center templates and auto-scoring from the first calls; implementation engineers on the Business plan), who runs it day to day (an operations manager with EnderGPT and scheduled reports, not a program team), the languages it covers (any language), and the price per agent — free for up to five agents, then $39 or $79 per agent per month, published on the pricing page.

Pricing →

Documented apps for Genesys Cloud, Five9, Zendesk, GoHighLevel and Fireflies; the Ender Turing browser extension, which records calls on 18 browser-based CRM and dialer platforms; the REST API, SFTP and manual upload for everything else; and on the Business plan, connectors to recording systems and a CRM connector that carries statuses and metadata both ways — set up by our engineers. Nothing is written back to your telephony platform.

Integrations →

No. The Templates Library installs contact-center bundles of boards, charts, topics, tags, scorecards, funnels, automations and prompts; the operations manager adjusts them rather than building from zero. Questions that used to need an export go to EnderGPT in plain language and come back with citations; the recurring ones become scheduled chats and scheduled reports. Analysts, where you have them, get the REST API and the Excel export.

Templates Library — the guide →

The free plan gives you a workspace in minutes; connected or uploaded conversations are analyzed as they arrive, so the first dashboards fill the same day. Contact centers on the Business plan get dedicated implementation engineers, recording-system connectors; auto-scoring starts from the first calls.

Free for up to 5 agents — 100 calls per agent a month, calls up to 10 minutes, standard templates, dashboards, topics, the repeat-contact view, automations and EnderGPT — and it does not expire. Team is $39 per agent per month with no limits, custom charts, built-in satisfaction and intensity analysis, scheduled chats, data export and the REST API. Business is $79 per agent with executive boards, scheduled reports, connectors set up by our engineers, the CRM connector; auto-scoring starts from the first calls. Enterprise adds private cloud or on-premise deployment.

Pricing →

It works in any language your customers speak. SOC 2 Type II and GDPR-compliant data handling on every plan; PII masking in transcripts on Business; private cloud (AWS, GCP, Azure) or on-premise deployment on Enterprise.

Data security →