Microsoft Teams Call Routing and Analytics Overview
As organizations increasingly rely on Microsoft Teams for unified communications, understanding how calls are routed—and how to measure their effectiveness—has become essential. Whether you’re managing internal support lines, customer service queues, or departmental call flows, Microsoft Teams offers flexible routing options through Auto Attendants and Call Queues. But with flexibility comes complexity, and that’s where analytics solutions like ISI’s Queue Analytics come into play.
Understanding Microsoft Teams Call Routing Options
Microsoft Teams enables organizations to route calls using Auto Attendants and Call Queues, each with distinct capabilities:
- Auto Attendants can:
- Redirect calls immediately or based on dial options.
- Allow callers to dial by name or extension.
- Route to voicemail, external numbers, or other voice apps.
- Handle off-hours and holiday routing separately.
- Call Queues can:
- Place callers in a queue until an agent becomes available.
- Redirect calls based on overflow, timeout, or agent availability.
- Route to other queues or auto-attendants, voicemails, or even external destinations.
These routing flows can be nested and customized, but they often lack visibility into what happens during each interaction, especially when calls transfer between multiple queues or attendants.
The Challenge: Limited Native Analytics
While Microsoft provides basic reporting via Power BI templates, native analytics are limited in scope and retention. For example:
- Historical data is capped at 45 days.
- Cradle-to-grave visibility of a call journey is missing.
- Agent-level performance tracking is minimal.
This lack of insight makes it difficult for managers to answer critical questions like:
- How many calls were abandoned due to long wait times?
- Which agents were presented with a call and who handled the most calls?
- Are staffing levels aligned with peak call periods?
- How many calls went to voicemail after entering the queue?
Why Analytics Matter: Business-Critical Metrics
To make informed decisions, managers need access to call center-like metrics, even if they’re not running a traditional contact center. Key metrics include:
Staffing & Scheduling
- Average Speed of Answer (ASA)
- Peak Hour Analysis
- Schedule Adherence
- Shrinkage Rate
Queue Performance
- Queue Abandonment Rate
- Call Overflow and Timeout Tracking
- High Queue Time
- Service Level (calls answered within threshold)
Agent Performance
- Average Handle Time (AHT)
- First Call Resolution (FCR)
- After Call Work Time (ACW)
- Empathy and Quality Scores
Customer Journey Insights
- Cradle-to-Grave Call Tracking
- Repeat Call Rate
- Customer Satisfaction (CSAT)
- Net Promoter Score (NPS)
The Solution: ISI Queue Analytics for Microsoft Teams
ISI Analytics offers a purpose-built solution that bridges the gap between Microsoft Teams’ routing flexibility and the need for actionable insights. Highlights include:
- Unlimited historical data retention
- Cradle-to-grave visibility across auto attendants and queues
- Agent-level reporting with inbound/outbound call tracking
- Queue summary dashboards for managing multiple queues
Whether you’re a sales manager, IT admin, or operations leader, ISI Queue Analytics empowers you to make data-driven decisions without the complexity of deploying a full contact center.
Ready to make sense of your Microsoft Teams call flows?
Explore how ISI Queue Analytics can help you optimize staffing, improve customer experience, and gain full visibility into your Teams calling environment.