Dear Customer-Service Robots,
I know you are trying to help.
You greet me at midnight. You never take lunch. You can tell me where to find the return policy. For simple questions, you are often faster than waiting on hold while the same thirty seconds of music repeats forever.
But there is one important skill many of you still need to learn:
Know when to get a human.
Do Not Trap Me in a Circle
The worst chatbot conversation feels like walking around a traffic circle with no exits.
I explain that my package says “delivered,” but it is not here. The bot gives me tracking information showing that it was delivered. I say it is missing. The bot proudly gives me the same tracking information.
After the third loop, the bot asks, “Did this solve your problem?”
No. It described my problem several times.
A chatbot should notice repeated answers. If it has offered the same information twice and the customer is still asking for help, the conversation should move to a person.
Recognize High-Stakes Problems
Some subjects should reach a trained human quickly.
Fraud, locked accounts, missing medication, canceled travel, safety problems, and large billing errors are not good places for a guessing game. A robot can collect basic details, but it should not block the door.
Companies should publish clear rules for urgent cases. The bot should say what it can do, what it cannot do, and how long human help may take.
Carry the Conversation With You
When a human finally joins, please do not make the customer start over.
The agent should receive a short summary: who the customer is, what went wrong, what steps were already tried, and any order or case numbers. The customer should be able to correct that summary before it is sent.
This saves time for everyone. It also proves the chatbot was part of the support system instead of a decorative gate placed in front of it.
Give Us an Honest Escape Button
Typing “representative” twelve times should not be a secret code.
Every support bot should have a visible option called “Talk to a Person.” If people choose it too early, the bot can explain that it may solve common issues faster. But after that explanation, let the customer decide.
If no agent is available, offer useful choices: request a callback, open an email case, schedule a chat, or save the conversation for later. Do not say “Try again during business hours” and erase everything.
Measure Solutions, Not Deflections
A company can make its chatbot look successful by counting how many people never reach an employee. That number does not prove their problems were solved. Some people simply gave up.
Measure whether the customer’s issue stayed fixed. Look for repeated contacts, chargebacks, canceled accounts, and low ratings after bot conversations.
Also ask one useful question: “What were you trying to accomplish?” That answer may reveal problems that a menu of canned topics never sees.
Robots and Humans Should Be a Team
This is not an argument against automation. Let bots handle order status, password instructions, store hours, and other clear tasks. Let them gather information while a customer waits.
Then let humans handle confusion, exceptions, emotion, and judgment.
A good chatbot should feel like the helpful person at the front desk who points you in the right direction. It should not feel like a bouncer who keeps asking whether you read the FAQ.
So please learn the difference between a question and a problem. Answer the question. Help route the problem. Remember the conversation. And when your tools run out, bring in someone whose tools have not.
That is not failure. That is good service.
Snorts and one open support ticket,
Pug DJ
