Ever feel like you’re flying blind when you roll out new AI tools for your support team? 🚀

A few months ago, a partner of ours at Twig told us they’d implemented an AI copilot… but weren’t seeing the impact they’d hoped for. They’d jumped straight into deployment without setting a starting point. No record of “before,” no way to prove “after.” 🤷‍♂️

Here’s the moment it clicked: You need a baseline. Think of it as your pre-AI snapshot—your reference photo. 📸 Before you tweak anything, ask yourself:
• How many tickets does each agent handle per day?
• How many first-response SLAs are missed each week?
• What’s your current CSAT score?

That snapshot is your fuel gauge. ⛽️ Once AI is live, you measure again. Suddenly, the story unfolds:
“We went from 20 tickets per agent to 30.”
“Missed SLAs dropped from five to zero.”
“CSAT climbed from 82% to 92%.”

That’s not luck. That’s proof. 🎯 Now you have real data to share with executives, justify your investment, and inspire your team. You’ve moved the needle—and you can show it.

So, before you flip the AI switch, set your baseline. Track it monthly. Celebrate the wins. And let the numbers tell the story of how AI transformed your support. 📈

Curious about how to build your own baseline? Follow me for more insights and real-world AI-CX playbooks. 🔍✨

#AI #CustomerSupport #CX #Metrics #Baseline #DataDriven #Innovation #TwigInsights

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