Products
Features
Practical reads on training, QA and coaching for contact center leaders. Written by the people building Reddy.
What to look for
How to evaluate call center simulation software in 2026. What's changed with AI-agent-built platforms, what to look for, and the trade-offs that matter.
Readiness test
Agent readiness isn't weeks in training or a supervisor's sign-off. It's a standard a new agent proves before the first live call. Here's the bar, and where they prove it.
By Adam Levin
After the call
ReddyWhat would you do differently on the refund step?
AgentConfirm the refund timing before closing.
When coaching runs automatically after every call, the coach stops handing down verdicts and the agent starts self-assessing. Here's what actually changes.
Refund amount$59.00
A realistic call simulation isn't just about how human the AI sounds. It's whether agents practice inside a working replica of their real systems.
Live calls ask agents to hold a conversation and run every system at once. Here's what real-time agent assist should take off their plate.
Day one to proficient
Agent ramp time isn't lost in the classroom, it's lost in the gap before the first live call. Here's where it goes at each stage, and how to fix each one.
QA score
Missed disclosure
Practice
Disclosure drill
QA scoring tells you which calls failed and why. It doesn't change what an agent does on the next call. Here's where scoring ends and practice begins.
How to run root cause analysis in a call center: a six-step process, a worked 5 Whys example, and how to turn causes into fixes you can verify.
Average handle time
What average handle time really measures, how to calculate it, and how to reduce AHT by fixing the thing that actually inflates it: agent uncertainty.
Calls scored
What auto QA is, how automatic scoring of 100% of calls works, and what changes for QA analysts, supervisors, and agents when sampling ends.
Coaching session
“Lead with empathy.”
First attempt
Call center coaching fails in the gap between the session and the next call. Agents hear what to change, then attempt it live. The fix is a place to rehearse.
QA platforms · 2026
The 10 best call center QA software platforms for 2026, ranked. Sampling 2% of calls is a quality lottery. Scoring 100% and fixing what you find is the new bar.
By Tom Lewis
Every call
A call center quality assurance checklist with every category to evaluate, an agent-side version, and how to apply it consistently on every call.
Refund delays · 312 calls
What conversational analytics is, how it differs from speech analytics, and how contact centers turn conversation data into action.
Why performance improvement stalls in contact centers: QA, coaching, and training run as disconnected teams. The performance flywheel closes the loop on one scorecard.
How to coach call center agents when the standard techniques keep stalling: make coaching systematic, so QA findings become practice automatically.
Simulation platforms · 2026
Compare the 10 best call center simulation platforms for 2026: who each one fits, how fast it deploys, and whether agents practice in your real systems.
What agents remember
Everyone blames shrinking attention spans. But the real culprit has been hiding in plain sight since the 1800s. Here’s what cognitive science tells us about making learning last.
Learning gains
A Harvard experiment replaced lectures with AI tutors and students learned faster. The implications for contact center development are profound.
Organizations are racing to adopt AI. But without Learning & Development leaders guiding the transformation, they risk fragmented adoption and cultural resistance.
Knowledge base
You’ve invested in a knowledge base. Your agents still can’t find answers fast enough. Here are five structural problems standing between your KB and effective AI integration.
Hard-to-train skills
McKinsey research shows that investing in advanced skills like emotional intelligence reduces attrition more than any compliance program. Here’s the science behind it.