Our reporting suite was powerful on paper—packed with dashboards, drill-downs, and configurability. But in reality, call center administrators didn’t have the time to explore it. Reporting is only one part of their job, and most admins described the same problem:

“I don’t know what I don’t know.”

They wanted to use the platform more.
They wanted to understand their call center better.
But the depth of the tools and the time required kept getting in the way.

We needed to give administrators the whole picture without the overwhelm:

• What’s happening in my call center right now?
• What should I care about most?
• What should I do about it?

I set out to merge two worlds: powerful reporting + guided, actionable insights.

The vision was a system that didn’t just display data, but told you what mattered and how to fix it. A system that felt as intuitive and motivating as the best fitness apps—where you don’t get lost in numbers, you see clear goals and clear next steps.

The AI assistant became a core part of this:

• Highlighting opportunities to automate processes
• Suggesting new AI agents to streamline workflows
• Identifying gaps in the knowledge base that impact call times
• Giving admins proactive insights they’d otherwise miss

I led the product strategy for the initiative and designed the Automation Opportunities feature end-to-end. My goals were simple:

1. Make complex analytics instantly understandable
2. Make insights immediately actionable
3. Make admins feel confident—not overwhelmed—using AI

This was the tool I wished existed when I worked in operations.

We built a unified experience that transforms raw data into clear, confident decision-making.

1. Natural Language Insights

Admins don’t need to interpret charts, they get a simple, human summary explaining what’s happening and why it matters. NLP makes the entire analytics layer conversational and accessible.
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2. Data Confidence Through Evidence

One of the biggest findings from research: users hesitate to trust AI without transparency.
So every insight includes:

• Linked transcripts
• Key evidence snippets
• Relevant call examples

Admins can see exactly where conclusions came from, building trust without adding complexity.
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3. Actionable Recommendations Everywhere

Every view includes automatic suggestions for improving performance.
Examples:

• “Reduce handle time by updating these 3 knowledge base articles.”
• “Create an AI agent to automate password resets.”
• “This topic is trending, consider adding training or scripting.”

Admins can immediately connect these actions to long-term financial impact.
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4. Clear, Guided Automation Creation

When creating an AI agent or automation, admins see:

• What the agent will do
• What data it uses
• Expected results
• Why it’s recommended

This level of transparency gives them the validation they need to take action confidently.

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The new experience gives administrators what they’ve been missing:

• A clear, big-picture snapshot instead of an overwhelming dashboard
• AI-powered guidance that surfaces insights they didn’t know to look for
• Higher confidence through transparency and evidence
• A direct line from insights → actions → results
• A system that feels approachable, intuitive, and genuinely helpful

For the first time, reporting feels less like a chore and more like a partner—one that helps admins run smarter call centers, improve customer experience, and contribute directly to company profitability.