When Solving the Problem Creates Another Problem šŸ¤”
I kept thinking about our conversation last night and ’s idea of offering an AI voice receptionist to kitchen and bathroom remodeling and repair businesses.
Preston, I’m using your example because I think it gave ALL of us something worth thinking about. 😊
There’s no question the AI receptionist has value. We all know it can answer missed calls, qualify prospects, schedule appointments, answer common questions, and keep opportunities from slipping through the cracks.
But we started with ā€œThey’re missing calls and losing revenue,ā€ and then uncovered another possible problem: They may not have enough workers to handle the business they already have.
So here’s the question that stuck with me:
What happens if our solution works REALLY well?
If we help them capture and book even MORE business, but they don’t have enough people to do the work, we may have solved Problem #1 only to have Problem #2 show up saying, ā€œWell, hello there!ā€ šŸ˜‚
But as I thought about it some more, I had to challenge my own thinking too. Maybe that doesn’t mean the service or even the audience is wrong.
Maybe the contractor doesn’t need more leads. Maybe the AI receptionist could help them handle their EXISTING demand better by qualifying callers, screening poor-fit inquiries, answering routine questions, scheduling the right estimates, and giving the owner and staff some time back.
Now we’ve shifted from ā€œLet me help you get more businessā€ to ā€œLet me help you handle the business you already have more efficiently.ā€
Or, if the offer really is about generating and capturing more opportunities, maybe we look for an audience that has missed calls AND capacity for more customers.(my original lane of thought before I considered an alternate route)
Something else from our conversation stayed with me too. We joked that if the business owner gets more leads but doesn’t have enough workers, ā€œwell, that’s his problem.ā€
Technically, maybe.
But I think there’s a bigger business question for all of us:
Do we just want clients who will BUY our services, or clients who will BENEFIT from our services?
Of course we’re thinking about what we can sell, what we can charge, and how much money we can make. We’re building businesses!
But we also need to ask:
What does my client actually need, and if my solution works exactly as promised, will they be better off?
Personally, I want to make money because what I sold created enough value that my client is GLAD they bought it. That’s where trust, referrals, repeat business, and reputation come from.
So Preston, I’m deliberately NOT giving you an answer. šŸ˜‚ This one is for you and your friendly neighborhood AI to work through.
Give AI your audience, offer, assumptions, and desired outcome. Then tell it:
ā€œDon’t just agree with me. Challenge my assumptions. Help me determine whether my audience, their actual problem, my offer, and the outcome I’m promising really fit together.ā€
See where it takes you, then bring your findings back and let us poke holes in Round Two. šŸ˜„
And maybe this is a good question for ALL of us as we finish our packets:
ā€œIs this the problem THIS client most needs solved, and what happens after I solve it?ā€
Sometimes the service is right and the audience needs adjusting. Sometimes the audience is right and the positioning needs adjusting.
And sometimes we just need to make that AI earn its keep. šŸ˜‰
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Dawnn Breynae
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When Solving the Problem Creates Another Problem šŸ¤”
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