GM @ https://xitter.cf/t.co/lEewtDBZei

France
Joined April 2009
Nicolas retweeted
Introducing: Office hours 🕑 Mava users can now create variations of the chatbot workflow (steps, handover message...) and assign them to different channels, days or times to ensure tailored coverage ✨
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I can assure you that I wasn’t thinking of any business matter when I took this photo 🧘🇫🇷
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Good documentation is like flossing. Nobody wants to do it, and the consequences only show up six months later when everything starts hurting.
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What nobody tells you when you work in customer service: people have a thousand and one ways of asking for help (not just different channels).
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Nicolas retweeted
Wishing you all a great week at @consensus2026 🌴
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A lot of companies have one person doing both CM and CS, and it's quietly breaking both functions. Community management is about engagement, vibes, channel growth. Customer support is about resolution, accuracy, speed. Different jobs, different metrics, different brain.
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Your support team is the smoke detector. Your product team treats it like the ceiling fan.
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I'd rather have an AI tell me it can't help me and suggest I speak to a human than have it try to pretend to be helpful
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Managing AI is like raising a child: you're proud when it goes to the bathroom on its own, but you're still the one who has to wipe
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I inserted myself in a Windows XP desktop background without AI
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"If we write docs, we'll get fewer tickets." Docs aren't a way to avoid support, they're the foundation every support layer depends on. Without good docs: - AI hallucinates - agents improvise, so users get inconsistent answers - new hires take 3x longer to ramp
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Most SMBs founders i talk to are still personally answering support tickets at midnight. They think it's a badge of honor. It's a bottleneck disguised as work ethic, because when the founder is the support, you cap your growth at the founder's bandwidth.
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Most "AI support" pitches are wrong about the same thing: they treat the AI as the support. It's not, it's the first 60% of the support. What actually decides whether AI helps or hurts you is the handoff. Its most important skill is knowing when not to answer.
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First response time is the most overrated metric in customer support. Teams optimize it, brag about it, and still lose users. The metrics i actually see correlate with retention across our customer base ⬇️
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Repeat contact rate -> same user, same issue, twice = product or docs gap Time to resolution, not time to first response -> nobody cares how fast you said "looking into it"
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A 10-min reply that actually solves it beats a 30-sec "we're on it" every single time.
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Opinion from running a CS tool all day: most Web3 SMBs don't have a volume problem, they have a channel tax problem. - 3+ channels (Discord, Tg, email, DMs, web chat...) - tons of tool switches for the support team - same users getting different answers on different channels
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The cost isn't the seconds of switching, it's that every switch resets context. The user you were helping on Discord is a stranger when they ping on Telegram. You can't out-hire this because adding people = more parallel amnesia. The unlock is shared memory across every channel.
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