🔀 What are Routers?
Routers are automated systems that help you manage Quality Assurance and AI Products processing at scale. They automatically:
Select interactions from your team's conversations based on the rules you set
Distribute them to the right people for review or send them through AI Products processing
Track the work so you can see what's been assigned and completed
Run on a schedule so you don't have to remember to do it manually
Think of a router as your automated assistant that works 24/7 to ensure consistent monitoring and evaluation of your team's interactions with customers.
🧭 Router Types
There are two main types of routers, designed for different purposes.
📝 Scorecard Routers
Purpose: Human review and quality evaluation.
Scorecard routers assign interactions to your QA team or supervisors for manual review using scorecards.
This is ideal when you need human judgment to evaluate quality, compliance, or coaching opportunities.
Example Scenario
Your QA manager wants to review 10 calls per agent each week.
The router automatically:
Selects the calls
Distributes them evenly
Assigns them to your QA analysts
What you need to configure
Which agents' interactions to sample
How many interactions per agent
Who will review them (participants)
What percentage of work each reviewer receives
When the reviews should be completed
🤖 AI Routers
Purpose: Automated AI analysis.
AI routers send interactions through automated AI processing such as:
Transcription
AI tagging and Sentiment
AI metrics
AI Process (AutoQA)
No human review is required.
Example Scenario
Every night:
All phone calls from the day are processed
transcripts are generated
Sentiment analysis runs automatically
Results appear in your dashboards the next morning.
What you need to configure
Which interactions to process
Which AI processes to run
When processing should occur
⚠️ Important:
Scorecard processing and AI processing cannot be combined in the same router.
You must create separate routers for each workflow.
⚙️ How Routers Work
The Basic Process
If you’d like to see the step-by-step instructions for configuring the router, you can read this article here: Creating and Managing Routers.
You configure the router rules
You schedule when it should run
The router activates automatically
Interactions are sampled based on your criteria
Work is distributed to reviewers or AI processes
You track progress through assignments and dashboards
📊 Understanding Routers Sampling
Sampling means selecting a specific number of interactions per agent.
Example:
You have:
5 agents
each handling 100 calls per week
You configure:
10 calls per agent
The router selects:
10 × 5 agents = 50 interactions total
This represents a 10% quality sample.
Why sampling matters
Reviewing every interaction isn't practical.
Sampling allows teams to:
Monitor quality effectively
Maintain manageable QA workloads
Maintain statistical coverage
👥 Users vs Participants
Understanding these roles is essential.
Users
Users are the agents whose work is being evaluated.
Examples:
Customer support agents
Sales representatives
Service specialists
Participants
Participants are the reviewers performing evaluations.
Examples:
QA analysts
Supervisors
Compliance reviewers
Example
A router samples:
5 interactions × 10 agents = 50 interactions
These 50 interactions are distributed among 2 QA analysts.
⏳ Time Windows
Time windows determine which interactions qualify for routing.
Window | Meaning |
|---|---|
1 day | yesterday's interactions |
7 days | last week's interactions |
30 days | last month's interactions |
Why time windows matter
A wider time window gives routers more interactions to choose from, increasing the chance of meeting sampling targets.
🏷️ Filters
Filters allow routers to focus on specific interaction types.
Examples:
Phone calls only
Interactions tagged as "Sales"
Escalated conversations
Specific product lines
Filters must be created in the system first, then selected when configuring routers.
🔄 Distribution Strategies
Distribution strategies determine how assignments are distributed among reviewers.
This applies only to scorecard routers (Manual QA).
Oversai currently supports three strategies:
Round-Robin (recommended for most QA workflows)
Random
Sequential
Each strategy changes how interactions are assigned, but does not affect how sampling works.
Sampling determines how many interactions are selected per agent, while distribution determines who reviews them.
⚠️ Recommended default: Round-Robin
⚠️ If you’d like to learn in more detail how each of these distribution strategies works and see practical examples, you can read this article: Understanding Distribution Strategies in Scorecard Routers (Manual QA).
📌 Summary
Routers in Oversai automate how interactions are selected, distributed, and processed across your quality assurance and AI workflows.
Instead of manually assigning evaluations or running AI analysis, routers allow teams to define rules that automatically sample interactions, assign them to reviewers, or send them through AI processes on a schedule.
In this guide, you learned:
What routers are and how they work
The difference between Scorecard Routers and AI Routers
How interactions are sampled and distributed
Key concepts such as users, participants, filters, and time windows
The different distribution strategies available for assigning work
Understanding these concepts will help you design routers that scale quality monitoring efficiently across your CX operation
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