Where does the data behind my CTI dashboards live?

With WorkDial, call activity, dispositions, and AI artifacts write to native Salesforce objects in real time. Your dashboards report on those records directly. There is no vendor database to sync from, so the numbers on a dashboard match what reps actually did.

Do I need a separate analytics tool for call reporting?

No. Because WorkDial stores call data as native Salesforce records, you build CTI dashboards with standard Salesforce reports and dashboard components. Filters, permissions, and historical trends behave exactly as they do for any other native object.

Why do CTI dashboards built on bolt-on dialers drift?

Bolt-on dialers keep call data in a vendor cloud and sync a copy into Salesforce on a schedule. Delays, partial logging, and field mismatches leave gaps the dashboard cannot fix. Native records remove the sync layer that causes the drift.

Can I report on AI call data like sentiment and summaries?

Yes. WorkDial writes transcripts, sentiment, and summaries to native Salesforce objects, so they are reportable fields. You can group calls by sentiment, surface flagged conversations, and trend AI outcomes in the same dashboards as call volume and handle time.

Salesforce CTI dashboards that report natively

CTI dashboards report reliably when the call data lives in native Salesforce objects rather than a synced copy of a vendor database. WorkDial is a Salesforce-native CTI platform (computer-telephony integration) that writes every call, disposition, and AI artifact as a native Salesforce record, so dashboards run on standard reports with no external analytics layer.

Where does my CTI dashboard data live with WorkDial?

Call data behind a WorkDial dashboard lives in native Salesforce objects. Call activity, direction, agent, duration, and disposition are fields on Salesforce records, and the AI artifacts (transcripts, sentiment, summaries) write to native objects too. The telephony itself runs on your own Twilio account, so the carrier transport and audio recording stay in your account while the structured call data lands natively in Salesforce. Dashboards report on the records, not on a vendor’s copy of them.

This is the architectural distinction. Other tools connect to Salesforce. WorkDial runs inside it. That is why call data belongs in Salesforce rather than in a system you report against secondhand.

Why do CTI dashboards usually break?

CTI dashboards break most often when call data is split between Salesforce and an external system. The same patterns repeat across orgs:

Call logs live partially outside Salesforce and arrive on a sync schedule.
Dashboards depend on nightly exports that lag the workday.
Reported metrics do not match what agents actually did.
Managers switch tools to answer basic operational questions.

None of these is a reporting problem. They are an architecture problem. If a tool is supposed to manage your Salesforce communication, why does your communication data live somewhere else? When the data is a synced copy, every gap in the sync becomes a gap in the dashboard, and admins maintain a parallel analytics system to compensate.

Native vs synced: what changes for reporting

The table below compares the two architectures on the dimensions that decide whether a dashboard is trustworthy.

Reporting dimension	Native call records (WorkDial)	Synced from a bolt-on dialer
Data source	Native Salesforce objects	Vendor database, copied in
Freshness	Written in real time	Limited by sync schedule
Field consistency	Salesforce fields, one model	Mapped fields, drift over time
Permissions	Inherit the Salesforce model	Re-applied per integration
Historical trends	Stay accurate in Salesforce	Depend on retained syncs
AI fields (sentiment, summaries)	Native, reportable	Often outside reporting

When dashboards run on native objects, filters work as expected, permissions stay enforced, and historical trends remain accurate without a separate tool to maintain. This architectural reliability is the same reason native CTI ties to CRM data quality and sales efficiency.

A practical dashboard model on native records

Build reporting in three layers, each grounded in the native call record.

Start with a consistent call record

Your call object should capture inbound versus outbound, the agent or queue handling the call, start time, end time, duration, and a disposition. When these fields are consistent on every record, every downstream report stays stable. Manual logging leaves gaps in the activity record and costs rep time, which is why automatic, native capture matters here.

Build reports before dashboards

Create the underlying reports first: calls by agent and time range, answered versus missed calls, average handle time by queue, and calls by outcome. If a report is hard to build, the data model needs adjustment before any dashboard is worth assembling.

Layer dashboards for managers

Dashboards answer operational questions quickly: who is overloaded right now, where calls are dropping, which queues need attention, and how today compares to yesterday. Keep one role to one view. A dashboard that tries to serve everyone serves no one.

Report on AI call data too

Because WorkDial writes transcripts, sentiment, and summaries to native objects, AI call analysis in Salesforce is reportable alongside call volume. You can trend sentiment by queue, surface flagged calls, and tie conversation outcomes to pipeline in the same dashboard, without an external analytics product.

How native architecture keeps reporting honest

Native architecture removes the sync layer that introduces dashboard drift in the first place. Calls, dispositions, recordings (in your own Twilio), and AI artifacts are stored where Salesforce reporting already works, so analytics stay inside the platform your team already trusts. This is the broader case for a Salesforce-native CTI architecture: the data model under your reports is the same model under the rest of your org.

WorkDial is buyable on its own, with native dialing inside Salesforce feeding the call records your dashboards depend on. It pairs with ValueText, the Salesforce-native messaging platform, when you want voice and messaging reporting in one native data model, though you do not need ValueText to run WorkDial. Pricing for every tier is on the pricing page.

See the dashboards on native records

If your call reporting depends on a sync you do not control, the fix is architectural, not another export. See how native call records drive Salesforce dashboards in a WorkDial demo. If you would rather try it against your own org, start a free trial.

Common questions

Where does the data behind my CTI dashboards live?: With WorkDial, call activity, dispositions, and AI artifacts write to native Salesforce objects in real time. Your dashboards report on those records directly. There is no vendor database to sync from, so the numbers on a dashboard match what reps actually did.
Do I need a separate analytics tool for call reporting?: No. Because WorkDial stores call data as native Salesforce records, you build CTI dashboards with standard Salesforce reports and dashboard components. Filters, permissions, and historical trends behave exactly as they do for any other native object.
Why do CTI dashboards built on bolt-on dialers drift?: Bolt-on dialers keep call data in a vendor cloud and sync a copy into Salesforce on a schedule. Delays, partial logging, and field mismatches leave gaps the dashboard cannot fix. Native records remove the sync layer that causes the drift.
Can I report on AI call data like sentiment and summaries?: Yes. WorkDial writes transcripts, sentiment, and summaries to native Salesforce objects, so they are reportable fields. You can group calls by sentiment, surface flagged conversations, and trend AI outcomes in the same dashboards as call volume and handle time.

Written by Nikhil Palliboina, Content Writer, WorkDial. WorkDial is built by the team behind ValueText, the Salesforce-native messaging platform, rated 4.97 stars across 100+ AppExchange reviews.