Why 'Hire One Support Person' Is the Wrong Advice for Startups
A LinkedIn-scraping tool I rely on broke last week. There was no one to email. Then a competitor showed up in my inbox selling "faster, hands-on support" as their differentiator. The market is figuring something out.
The tool is Surfe. It syncs LinkedIn contacts to our CRM and we use it constantly. Until it broke. No chat, no email that goes to a human, no clear path to anyone who could fix it. Days went by. Then last weekend an outreach email landed from LeadCRM, a competitor. They built their positioning around my frustration.
Today I read Jason Lemkin's piece in SaaStr (https://lnkd.in/dMvECGPs) arguing that almost no AI company has functional customer support, and the few who do have abandoned bots that make things worse. He opens with the same story I just lived, his is about Recall and a broken upload flow after a release.
Lemkin's Monday-morning advice includes "hire one support person before your next engineer." Good instinct. Hard execution. Here is why that hire fails more often than it works.
One support person covers maybe 40 hours of one time zone. Your customers are in five. Your lone hire takes PTO, gets sick, and burns out fast on a queue that's low-volume but high-stakes, because every ticket is either a furious power user or a new customer deciding whether to churn. No peer to escalate to. No time to build the AI system Lemkin describes in point five. No second pair of eyes for the product feedback loop in point four.
The model that works for an AI company between $500K and $10M ARR is two people at twenty hours each. Paired shifts, mid-country or staggered, covering a forty-hour week with redundancy built in. One leads the account, handles escalations, works your engineering team, and runs voice-of-customer into the product roadmap. The other provides coverage, capacity, and the peer your solo hire would never have. The 24-hour SLA Lemkin asks for holds, with same-hour response during business hours.
The piece most support functions miss is the release cycle. A real support lead reads the release notes before the deploy goes out, retrains the bot on what's changing, updates help content the same day, and watches the queue for what the bot will miss for the first 48 hours. That's how you turn point five from a one-time configuration into an operating discipline.
Around $81,000 a year for the experienced paired team. AI bot licensing and setup priced separately. Less than a single US support hire, with redundancy and product feedback built in.
We run this as a managed service at HigherRing. You don't hire, train, manage, or replace anyone. We do.
If you're an AI founder reading Lemkin's piece and nodding, two people, twenty hours each, plus a managed bot trained on your release cycle. About a month from kickoff to live.
Let’s build something meaningful together.
Contact us today to learn how HigherRing can support your team, streamline your operations, and help your brand grow with purpose.
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