Data as of Aug 25, 2026 · Based on 304 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
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Source | Citation share |
|---|---|
 Importance of UCaaS Analytics and Reportinghttps://symplicitycom.com/ucaas-analytics-and-reporting/ | 3.3% |
 Call Center Analytics: Drive Results With Actionable Insights | Vonagehttps://www.vonage.com/resources/articles/call-center-analytics/ | 2.5% |
 Call Analytics 101 - UC Today's Guide to Call Reporting Software - CX Todayhttps://www.cxtoday.com/contact-center/call-analytics-buyers-guide/ | 2.3% |
 The insights and benefits of unified communications analyticshttps://www.techtarget.com/searchunifiedcommunications/tip/The-insights-and-benefits-of-unified-communications-analytics | 2.2% |
VoIP Analytics & Call Reports | VoIP Features | Nextivahttps://www.nextiva.com/features/voip/call-analytics.html | 2.1% |
 Call Analytics Guide for Businesses: What It Is and Why It Mattershttps://telecloud.net/blog/call-analytics-guide-for-businesses-what-it-is-and-why-it-matters | 1.8% |
4 Use Cases for Unified Communications Analytics ... - Vonagehttps://www.vonage.com/resources/articles/ucaas-analytics-use-cases/ | 1.8% |
 Contact Center Analytics: Types, Metrics & Best Practiceshttps://www.univoip.com/blog/contact-center-analytics-types-metrics-best-practices | 1.6% |
Call Center Analytics: Types, KPIs & Metrics (Complete Guide)https://www.nextiva.com/blog/call-center-analytics.html | 1.5% |
 Report: Study finds RingCentral is #1 in UCaaS analytics | RingCentral Bloghttps://www.ringcentral.com/us/en/blog/ringcentral-report-ucaas-analytics/ | 1.5% |
Evaluating call analytics and reporting across VoIP and Unified Communications (UC) vendors requires looking past basic call logs into how the data drives operational efficiency, agent performance, and business insights.
Here is a structured framework to evaluate and compare these capabilities:
Real-time dashboards: Look for live wallboards that track active queues, current agent status (available, on-call, wrap-up), and real-time call volume spikes. Check how frequently metrics refresh (e.g., instant vs. 5-minute intervals).
Historical reporting: Assess the depth of historical data. Can you schedule recurring reports (daily, weekly, monthly) delivered automatically via email, or do you have to pull them manually?
Core metrics: Ensure standard KPIs like Average Speed of Answer (ASA), First Resolution Rate (FRR), Average Handle Time (AHT), and Abandonment Rate are readily available.
Advanced granularity: Check for cradle-to-grave tracking (complete lifecycle of a single call, including IVR navigation, holds, transfers, and ring time). Determine if you can drill down from high-level summaries to individual call recordings.
Custom dashboards: Can managers build personalized views tailored to specific roles (e.g., an executive view vs. a team lead view)?
Filter and slice capabilities: Verify if reports can be filtered by department, specific geographic location, user groups, or time-of-day cohorts without needing complex external tools.
Speech and sentiment analytics: Check if the vendor offers built-in AI transcription, keyword spotting, or sentiment analysis to gauge customer mood automatically.
Predictive insights: Look for anomaly detection or forecasting tools that help predict staffing needs based on historical trends.
Third-party BI tools: Evaluate whether the platform natively integrates or pushes raw data smoothly into business intelligence suites like Power BI, Tableau, or Looker.
Data retention limits: Know how long the vendor stores raw analytics data natively (e.g., 30 days vs. 1 year) and whether exporting historical data incurs extra costs or requires an enterprise tier.
Would you like me to help you build a vendor scorecard/checklist or detail the specific KPIs most critical for your industry (e.g., sales vs. customer support)?
No sources cited
A good evaluation should treat call analytics as a decision-support capability, not simply a checklist of “reports included.” The key question is: Can this platform give the right people the right data, at the right level of detail, and let us act on it?
Define what you actually need analytics to accomplish:
This prevents vendors from winning simply because they have the longest list of dashboards.
I would use a weighted scorecard like this:
| Category | What to evaluate | Suggested weight |
|---|---|---|
| Call-detail data | CDRs, call legs, transfers, holds, duration, disposition, routing path | 15% |
| Real-time analytics | Active calls, queues, agents, alerts, live dashboards | 10% |
| Call-quality analytics | MOS, packet loss, jitter, latency, device/network/carrier attribution | 15% |
| Historical reporting | Trends, comparisons, retention, drill-down, custom date ranges | 10% |
| Contact-center analytics | AHT, ASA, abandonment, service level, agent/team metrics | 10% |
| Customization | Custom dashboards, filters, calculated metrics, scheduled reports | 10% |
| Data access/API | APIs, webhooks, exports, data warehouse integration | 15% |
| Administration/security | RBAC, auditability, data segregation, reporting permissions | 5% |
| Recording/speech analytics | Transcription, search, sentiment, topics, coaching, retention | 5% |
| Cost/licensing | What's included vs. separately licensed | 5% |
The exact weights should change according to the organization's priorities.
This is one of the biggest traps in vendor comparisons.
A vendor might provide a beautiful dashboard showing:
10,421 calls · 8,700 answered · 1,721 missed That's reporting.
More valuable analytics might let you drill from that number to:
Department → location → queue → agent → individual call → call leg → device/network conditions. For example, 8x8 documents reporting that goes from company summaries down to extension-level activity and individual call-detail records, including routing, answering, holds and disconnect information. It also provides separate call-quality, queue, employee and device reporting.
That's the kind of drill-down capability worth testing across every vendor.
For IT teams, this can be more important than executive dashboards.
Ask whether the platform can show:
Microsoft Teams, for example, provides per-user call analytics with information about devices, networks, connectivity and call quality, and can associate calls with building/site information to identify location-based problems.
Don't just ask, "Do you have QoS reporting?" Ask the vendor to demonstrate how an administrator investigates an actual bad call.
A platform may be excellent at historical reports but weak at operational monitoring.
Test whether you can see, in real time:
Then test historical analysis:
For example, 8x8 documents real-time active-call, queue and device views alongside historical reports, rather than treating analytics as purely retrospective.
This is frequently where vendor comparisons fall apart.
Ask:
Can we get the raw data out?
Specifically:
An attractive dashboard is considerably less valuable if the underlying data can't be integrated with your BI environment.
8x8, for example, explicitly offers analytics APIs for combining communications data with business systems, while its standard analytics can export many reports to CSV or Excel.
Ask vendors to build the same dashboard during the demo.
For example:
"Show me a dashboard with inbound calls, answered calls, missed calls, average wait time, abandonment rate, average talk time and service level, broken down by department, with a date filter and drill-down to individual calls."
Then ask:
"Customizable" should mean you can actually customize it, not that the vendor's professional-services team can.
Don't let a vendor blur these together.
For ordinary business calling, you may care about:
For contact centers, you may additionally need:
Make vendors demonstrate the exact functionality relevant to your environment.
This deserves its own spreadsheet.
For every analytics capability, record:
Included → Optional license → Third-party product → Professional services
Also document:
A vendor can appear cheaper until you discover that the analytics your operations team needs require another license.
Rather than letting each vendor give its favorite demo, give all vendors the same five scenarios:
Score each demonstration 1–5, and don't award points for capabilities the vendor merely says are on the roadmap.
If you want a short RFP checklist, I'd make these mandatory:
The last question is particularly revealing. A strong analytics platform should shorten the path from "something is wrong" → "here's what happened" → "here's what we should do about it." Microsoft's per-user call analytics and 8x8's combination of call-detail, quality, queue, employee and device reporting illustrate two different approaches to that problem.
If you're comparing specific vendors (e.g., Microsoft Teams Phone vs. Zoom Phone vs. RingCentral vs. 8x8), I can also build a vendor-by-vendor analytics scorecard/RFP matrix with the exact criteria and scoring questions.
A vendor can appear cheaper until you discover that the analytics your operations team needs require another license.
Rather than letting each vendor give its favorite demo, give all vendors the same five scenarios:
Score each demonstration 1–5, and don't award points for capabilities the vendor merely says are on the roadmap.
If you want a short RFP checklist, I'd make these mandatory:
The last question is particularly revealing. A strong analytics platform should shorten the path from "something is wrong" → "here's what happened" → "here's what we should do about it." Microsoft's per-user call analytics and 8x8's combination of call-detail, quality, queue, employee and device reporting illustrate two different approaches to that problem.
A good evaluation should treat call analytics as a data and decision-making capability, not simply as a checklist of dashboards. Vendors often advertise similar metrics, but the differences show up in data granularity, real-time visibility, customization, APIs, retention, and how easily an administrator can move from an aggregate KPI to the underlying call.
Define the business questions first:
This prevents a vendor from winning simply because it has a visually impressive dashboard.
| Capability | What to evaluate |
|---|---|
| Executive | Prebuilt KPIs, trends, dashboards, scheduled reports |
| Supervisor | Queue/ring-group performance, agent status, real-time calls, SLA metrics |
| IT | MOS/voice quality, jitter, latency, packet loss, device/network diagnostics |
| Data/BI | CDRs, APIs, exports, webhooks, data warehouse integration, Power BI/Tableau support |
For example, 8x8 exposes company, extension, CDR, active-call, queue, ring-group, employee, device and call-quality reporting, including real-time and historical views. 8x8 Documentation 8x8 Documentation Microsoft Teams similarly provides PSTN usage/Call Detail information and separate historical reporting for Auto Attendants, Call Queues and agents.
The important question isn't "does the vendor have CDRs?" It's what can you actually do with them?
This is one of the most important—and most frequently overlooked—areas.
Ask vendors to demonstrate whether you can obtain:
Call-leg visibility is particularly valuable. A single customer call may pass through an auto attendant, queue, agent, transfer and another agent. A system that reports only "one call, 12 minutes" tells you much less than one that exposes the journey.
Score these separately.
Look for:
Look for:
For example, 8x8 documents real-time active-call and queue reporting alongside historical CDR and quality reporting. 8x8 Documentation Microsoft Teams' call-health functionality provides real-time network/audio metrics, with updates every 15 seconds.
Don't let a vendor substitute a near-real-time dashboard for genuinely real-time operational monitoring.
For IT teams, this can be more important than traditional call statistics.
At minimum, evaluate:
Then ask:
"Show me how you would troubleshoot a user who says their calls have been bad for the last two weeks." Don't accept a slide presentation. Give every vendor the same hypothetical incident and watch how many clicks it takes to identify the root cause.
This is where products can differ dramatically.
Score:
8x8, for example, explicitly offers analytics APIs for combining communications data with business systems, while its reporting supports CSV/Excel exports.
Microsoft's Teams reporting illustrates another model: some specialized reporting is delivered through Power BI templates rather than solely through native dashboards.
That distinction matters if your organization has an established enterprise BI strategy.
A great vendor demo can hide operational friction.
Give each vendor a standardized test such as:
"Show me all calls to our sales queue yesterday, identify abandoned calls over 60 seconds, break them down by hour, show which agents were available, and export the underlying call records." Then score:
This is much more revealing than asking vendors whether they support "advanced analytics."
Put these explicitly into the RFP:
The cheapest UCaaS license can become substantially more expensive once the analytics needed by IT and operations are added.
A practical weighting might be:
| Category | Weight |
|---|---|
| Call/queue analytics | 20% |
| Call-quality/IT diagnostics | 20% |
| Data granularity & CDRs | 15% |
| Real-time monitoring | 10% |
| Custom dashboards/reports | 10% |
| API/BI/data integration | 10% |
| Retention/export/scheduling | 5% |
| Usability/administration | 5% |
| Licensing/TCO | 5% |
Then score each capability 0–5, but require evidence:
I'd also give certain capabilities a "must pass" designation. For example, if your organization depends heavily on voice quality troubleshooting, a vendor shouldn't be able to compensate for poor diagnostic data by scoring highly on dashboard aesthetics.
The strongest evaluation is a scripted proof-of-capability demo. Give every vendor the same 5–7 scenarios:
Score what the product actually demonstrates, not what the salesperson says it can theoretically do.
The best VoIP/UC analytics platform isn't necessarily the one with the most reports. It's the one that provides a consistent chain from KPI → trend → segment → individual call → root cause → actionable response, while exposing enough underlying data for your organization to build its own reporting.
If you're evaluating vendors such as Microsoft Teams Phone, Zoom Phone, RingCentral, 8x8, Webex Calling, and similar UCaaS platforms, I'd strongly recommend building the RFP around this framework rather than using a generic "analytics: yes/no" feature matrix.
Score what the product actually demonstrates, not what the salesperson says it can theoretically do.
The best VoIP/UC analytics platform isn't necessarily the one with the most reports. It's the one that provides a consistent chain from KPI → trend → segment → individual call → root cause → actionable response, while exposing enough underlying data for your organization to build its own reporting.
If you're evaluating vendors such as Microsoft Teams Phone, Zoom Phone, RingCentral, 8x8, Webex Calling, and similar UCaaS platforms, I'd strongly recommend building the RFP around this framework rather than using a generic "analytics: yes/no" feature matrix.
Evaluating call analytics and reporting across VoIP and UC (Unified Communications) vendors requires moving past basic call logs into actionable business intelligence. Different providers slice data wildly differently—some offer robust out-of-the-box dashboards, while others lock advanced metrics behind steep enterprise tiers or require third-party integrations.
Here is a structured framework to evaluate and compare vendor capabilities effectively:
Determine what comes standard versus what costs extra.
A cluttered or rigid reporting interface leads to ignored data.
Your VoIP analytics shouldn't live on an isolated island.
For modern UCaaS and CCaaS (Contact Center as a Service) overlaps, look beyond numbers into audio context.
If you'd like, let me know:
I can help you build a tailored RFP checklist or compare specific vendor approaches.
No sources cited
When evaluating VoIP/UC vendors, treat call analytics as a decision-support capability, not simply a checklist of dashboards. The key question is: Can we get from “something is wrong” to “why is it wrong, who is affected, and what should we do?”
| Area | What to evaluate | Why it matters |
|---|---|---|
| Usage & adoption | Inbound/outbound volume, active users, minutes, feature adoption, trends by site/user | Helps measure ROI and identify under/over-utilization |
| Call quality | MOS, jitter, latency, packet loss, codec, device/network/ISP, dropped calls | Determines whether poor experience is caused by users, LAN/WAN, devices, or provider |
| Call-detail analytics | Call paths, transfers, holds, queues, abandoned calls, duration, disposition | Essential for understanding business processes, not just network quality |
| Troubleshooting | Per-user/per-call drill-down, root-cause indicators, correlation with device/site/network | Determines how quickly IT can resolve incidents |
| Reporting & integration | APIs, exports, Power BI/Tableau support, scheduled reports, webhooks, data retention | Determines whether analytics can become part of your existing BI/operations workflow |
Compare them on depth + accessibility of the underlying data.
For example, Microsoft Teams' Call Quality Dashboard provides organization-wide quality analysis, while its per-user Call Analytics exposes device, network, connectivity and call-quality information. Microsoft also provides Power BI templates and a Graph API for extracting/combining call-quality data.
Zoom Phone similarly separates different datasets: call history, usage reports and QoS data aren't necessarily equivalent. Its QoS dashboard can filter quality by users, call queues, auto receptionists and other endpoints, while its usage/adoption reporting covers inbound/outbound calls and SMS.
That's an important evaluation lesson: ask vendors to explain what constitutes a call record, what constitutes a quality record, and how those datasets can be joined.
A strong platform should let you move roughly like this:
Executive dashboard → site → department → user → individual call → call leg → network/device metrics
Ask each vendor to demonstrate this live using a deliberately bad call.
For example:
"Show me a call that had poor quality. How do I identify the affected user? Can I determine whether the problem was Wi-Fi, ISP, endpoint, network path, or the carrier? Can I see the individual call legs?"
Microsoft explicitly supports call-leg analysis for troubleshooting and location/building-enhanced reporting.
This is one of the easiest things to miss.
IT wants:
Operations/sales/customer service wants:
Don't assume a vendor that's excellent at the first category is equally strong at the second.
For instance, Zoom's call-queue analytics includes service level, average handling time, wait time, completed/abandoned/overflow calls and agent-level drill-down. Some of that functionality requires the Customer Engagement Pack.
I'd make this a major part of the RFP.
Ask:
Microsoft, for example, explicitly notes that its Graph CallRecords API gives organizations flexibility to build their own data models, but that it may not contain every field available in CQD.
That last distinction—UI data vs. API data—is something I'd test with every vendor.
Two questions that frequently get overlooked:
How quickly does data appear?
Zoom says its QoS data can become available about 20 seconds after a call, while Microsoft says CQD records are typically available within about 30 minutes.
How far back can we analyze it?
Retention varies considerably by dataset. Zoom currently documents different retention periods for QoS, usage, device, SBC and queue analytics; Microsoft documents 12 months for CQD while certain end-user-identifiable fields have shorter retention.
For an enterprise, I'd specify your requirement explicitly—for example, "minimum 13 months of searchable historical call data and 30 days of detailed user/call diagnostics."
Give every finalist the same five scenarios:
Score each from 1–5 on:
I'd be cautious if a vendor:
For a typical enterprise, I'd start with:
Then adjust the weighting based on whether you're primarily an IT/network, contact-center, or UC/telephony buyer.
Bottom line: the best VoIP/UC analytics platform isn't necessarily the one with the most dashboards. It's the one that gives you trustworthy data, fast drill-down from business KPI to individual call, useful root-cause diagnostics, sufficient historical depth, and unrestricted enough data access to integrate with the systems you already use.
Evaluating call analytics and reporting capabilities across VoIP (Voice over IP) and UC (Unified Communications) vendors requires looking past basic call logs to see how data translates into actionable business intelligence.
Here is a structured framework to evaluate and compare vendor capabilities:
If you'd like to narrow this down further, let me know:
Evaluating call analytics and reporting capabilities across different VoIP and Unified Communications (UC) vendors requires looking beyond basic call logs. You need a structured approach to ensure the data aligns with your operational, management, and strategic goals.
Here is how a business should evaluate these capabilities:
To help narrow down the evaluation, could you share:
A good way to evaluate VoIP/UC call analytics is to treat analytics as an operational capability, not simply a list of reports. The key question is: Can our IT, operations, and business teams get from “something looks wrong” to “here's why, who is affected, and what we should do” quickly?
Define use cases before comparing vendors:
Then make vendors demonstrate those scenarios rather than giving you a feature checklist.
| Area | What to look for |
|---|---|
| Call quality | MOS, jitter, packet loss, latency, codec, device/network/ISP breakdowns, dropped-call rates |
| Call activity | Inbound/outbound volume, duration, answer/missed/abandoned calls, transfers, call paths |
| Contact-center performance | SLA, service level, wait time, ASA, abandonment, agent occupancy/performance |
| Usage/adoption | Active users, calling patterns, device/client usage, feature adoption, site/department trends |
| Reporting & BI | Custom dashboards, scheduled reports, exports, APIs, webhooks, Power BI/Tableau integration |
The distinction between aggregate trend analytics and individual-call troubleshooting is particularly important. Microsoft, for example, describes Teams CQD as an organization-level tool for spotting patterns, while its call-health tooling provides much more immediate individual-call information.
Ask vendors to show you an actual bad call and answer:
Don't accept a single “quality score” as sufficient. Zoom, for example, exposes MOS along with metrics such as packet loss, jitter, network delay, codec, device and ISP, and allows filtering and CSV export.
This is where vendors can differ substantially.
Score whether you can:
For example, RingCentral advertises customizable dashboards, real-time analytics, reports, alerts and reporting across call volume, QoS, adoption and device usage. www.ringcentral.com Microsoft also provides Power BI query templates for CQD, which is worth considering if your organization already uses Power BI.
Ask two deceptively important questions:
“How long after a call ends before I can report on it?”
and
“How far back can I analyze it?”
These can materially affect troubleshooting and trend analysis. Microsoft says CQD call records are typically available within about 30 minutes, whereas Zoom says its Phone QoS dashboard data is retained for 12 months.
Also distinguish:
They may have different retention periods and different export/API capabilities.
For larger organizations, ask vendors to explain their underlying analytics model.
You want stable identifiers for things such as:
This matters because a call that passes through an auto attendant, queue, several agents and a transfer can generate multiple call legs. Your reporting system needs to let you understand that relationship rather than treating every leg as an independent call.
A mature platform should let you answer questions such as:
“Our customer-service abandonment rate increased 4% last month. Which queues, times of day and locations caused it?”
and:
“Which sites have both high call volume and unusually poor QoS?”
and:
“Are our expensive desk phones actually being used?”
Zoom, for example, separates QoS analytics from usage/adoption analytics and offers queue real-time and historical analytics with metrics such as SLA, volume, wait time and abandoned calls.
I'd give substantial weight to:
API completeness > dashboard prettiness.
Ask whether you can programmatically retrieve:
Also ask about API rate limits, pagination, authentication, webhooks, documentation, and whether API access costs extra.
If you're evaluating a platform for a five-to-ten-year lifecycle, proprietary dashboards shouldn't become your only analytics environment.
A reasonable starting point might be:
| Criterion | Weight |
|---|---|
| Individual-call troubleshooting/QoS | 20% |
| Contact-center/queue analytics | 15% |
| Custom reporting & dashboards | 15% |
| API/data export/BI integration | 15% |
| Historical retention | 10% |
| Real-time analytics/alerts | 10% |
| Usage/adoption analytics | 5% |
| Ease of use/RBAC | 5% |
| Recording/transcription analytics | 5% |
Adjust the weights to your environment. A 500-seat internal UC deployment shouldn't necessarily weight contact-center analytics the same way a 5,000-agent customer-service operation would.
Instead of asking:
“Does your platform support call-quality reporting?”
ask the vendor to perform this live:
“Find yesterday's five worst-quality calls for the Buffalo office, identify the common cause, drill into one affected user's call, show the network/device metrics, export the records, and create an alert that would notify IT if the same condition occurs again.”
Then give them a second scenario:
“Show us yesterday's queue SLA, abandonment and wait-time performance, identify the worst 30-minute period, drill into the agents involved, and schedule that report for management every Monday.”
That approach exposes differences in data granularity, latency, drill-down capability, usability, customization and automation much faster than a feature matrix.
Bottom line: I would evaluate vendors on four levels—real-time visibility → individual-call diagnosis → historical/trend analysis → programmatic access to the underlying data. The strongest UC analytics platform isn't necessarily the one with the most dashboards; it's the one that lets your organization reliably move from symptom → affected population → root-cause evidence → action.
A good evaluation should treat call analytics as a decision-support capability, not simply as a list of reports. The key question is: Can the platform give the right people trustworthy, actionable data about call activity, call quality, employee performance, and customer interactions—and can we get that data into our other systems?
Here’s a practical framework.
Separate requirements by audience:
| Audience | Questions analytics should answer |
|---|---|
| IT / telecom | Where are calls failing? Which sites, devices, networks, or users have poor quality? |
| Operations | How much call volume are we handling? When are peaks? Are queues appropriately staffed? |
| Managers | How are teams/users performing? How many calls are answered, missed, transferred, or abandoned? |
| Executives | Are communications improving productivity, availability, and customer experience? |
| Compliance / security | Can we audit calls, recordings, access, retention, and administrative activity? |
| Data/BI teams | Can we extract reliable raw data and combine it with CRM, ERP, HR, or data warehouse data? |
This prevents a vendor from winning because it has a visually impressive dashboard that doesn't actually answer your business questions.
Don't just ask "What reports do you have?" Ask what fields are available at the individual call level.
At minimum, look for:
For example, 8x8 documents both aggregate call reporting and call-detail records that can trace a call's journey, including routing, answering, duration and hold behavior.
Critical test: Ask the vendor to provide a sample raw record/export and map it against your requirements. A dashboard may display a metric without making the underlying data available to you.
Assess whether the platform provides:
Basic
Intermediate
Advanced
For example, current 8x8 documentation describes separate call, queue, ring-group, employee, device, call-quality and business-hours reporting, illustrating the difference between a simple CDR report and a broader analytics environment.
This is particularly important for VoIP.
Ask whether you can identify why a call was bad, rather than merely seeing that it was bad.
Look for:
Then test the troubleshooting workflow:
"Show us a bad call from yesterday. Starting from the dashboard, can an administrator determine whether the problem was the user's device, LAN/Wi-Fi, WAN, ISP, carrier, or the vendor's platform?"
That's much more meaningful than asking whether the product has "QoS analytics."
These solve different problems.
Real-time:
Useful for supervisors and NOC/IT teams—current queue status, active calls, waiting callers, outages and current quality problems.
Historical:
Useful for capacity planning, workforce management, trend analysis, billing, performance management and executive reporting.
Make vendors demonstrate both. Don't accept "near real time" without defining the refresh interval. A dashboard updated every 5 minutes is very different from one updated every few seconds.
This is one of the biggest differentiators between platforms.
Ask:
8x8, for example, explicitly offers analytics APIs intended to combine communications data with other business systems.
I would give API/data portability a surprisingly high weighting. A beautiful dashboard is less valuable if your company cannot get the underlying data.
For larger organizations, analytics can expose sensitive information.
Check:
Also ask specifically:
"Can a supervisor see recordings and analytics for only their team, while IT can see technical information across the organization?"
This is an easy procurement mistake.
A business phone platform might provide excellent:
But that doesn't necessarily mean it provides mature CCaaS analytics such as:
If customer service is a major use case, evaluate the contact-center analytics separately rather than assuming "advanced analytics" means the same thing across vendors. Industry practitioners also commonly distinguish UCaaS's internal communications role from dedicated CCaaS capabilities.
This is probably the best procurement technique.
Give every vendor identical exercises, for example:
Scenario A — Missed calls
"Show me all missed external calls to our main number yesterday, identify which were returned, and report the average time to return them."
Scenario B — Quality problem
"Find our 20 worst-quality calls last week and identify the common device/site/network characteristics."
Scenario C — Queue performance
"Show service level, abandoned calls, wait time and peak-hour volume for our support queue over the last 90 days."
Scenario D — Management
"Create a dashboard comparing three departments, then drill into an individual employee and ultimately an individual call."
Scenario E — Data engineering
"Export six months of call-level data and demonstrate how we'd load it into our BI platform."
Score the vendor on how many steps, clicks, licenses and workarounds each scenario requires.
I'd use something roughly like this:
| Category | Weight |
|---|---|
| Call-level data / CDR depth | 15% |
| Call-quality diagnostics | 15% |
| Historical reporting | 10% |
| Real-time analytics | 10% |
| Custom dashboards/reports | 10% |
| API / data export / BI integration | 15% |
| Contact-center analytics | 10% |
| Recording/transcription/AI analytics | 5% |
| Security, permissions & retention | 5% |
| Usability / administration | 5% |
Adjust the weights according to your environment.
Most importantly, score "included in our proposed license" separately from "technically available." Vendor comparisons can otherwise become misleading because an apparently equivalent analytics feature may require a higher-tier license, an add-on, professional services, or a third-party product. An independent Tolly comparison, for example, specifically examined turnkey analytics and noted where capabilities were extra-cost items.
If a vendor can answer those five convincingly and demonstrate them live using your scenarios, you'll have a much more meaningful comparison than a feature-by-feature VoIP checklist.
Evaluating call analytics and reporting capabilities across different VoIP and Unified Communications (UC) vendors requires looking beyond standard metrics to ensure the data matches your operational and business goals.
Here is a structured framework to evaluate these capabilities effectively:
If you'd like, let me know:
I can tailor this evaluation framework or suggest specific questions to ask vendor sales reps.
