The signal indicates that teams struggle with closing the feedback loop due to messages getting buried in Slack, leading to unanswered customer questions and a need for AI-assisted tracking and drafting.
The core pain is not the lack of tools but the failure to track and respond to customer questions in shared channels, causing delays and missed opportunities.
Snapshot context
What makes this snapshot distinct
This snapshot is distinct because the strongest evidence currently comes from reddit within last 15 days, with 3 quote-backed signals that indicate how users describe this problem in their own words. It also references related products such as close the feedback loop.
Most important finding
The core pain is not the lack of tools but the failure to track and respond to customer questions in shared channels, causing delays and missed opportunities.
Suggested focus
Watch for solutions that integrate with Slack to automatically track questions and draft responses, as this directly addresses the buried-message problem.
AI feedback clusters
Buried Messages in Slack
Customer questions in Slack channels often go unanswered because team members assume others will handle them, leading to delays.
“the buried-message moment is exactly it - for us it was when a customer question sat unanswered for 2 days bc everyone assumed someone else had it we built mio for partly this (ai coworker in slack): it tracks whats being asked in channels & drafts answers”
Scaling Support from Slack
As teams grow, relying on Slack for support becomes problematic, but there's no clear threshold for when to switch to a dedicated tool.
“I’ve worked on the customer support side rather than as a startup owner, but I’ve seen this happen as teams grow. I don’t think there’s necessarily a magic number of customers where you *have* to move from Slack to a support tool. For me, the bigger warning”
AI root-cause hypothesis
As teams grow, informal channels like Slack become overloaded, and without clear ownership, messages fall through the cracks, leading to poor response times.
Product implications
Implement features that automatically detect unanswered customer questions in Slack and assign ownership or draft responses.
Highlight how your tool prevents messages from being buried and ensures accountability, differentiating from generic support ticketing.
Startups can build lightweight AI copilots that monitor Slack and assist with responses, targeting the early-stage teams that outgrow informal support.
Source evidence supporting this signal
“the buried-message moment is exactly it - for us it was when a customer question sat unanswered for 2 days bc everyone assumed someone else had it we built mio for partly this (ai coworker in slack): it tracks whats being asked in channels & drafts answers”
“I’ve worked on the customer support side rather than as a startup owner, but I’ve seen this happen as teams grow. I don’t think there’s necessarily a magic number of customers where you *have* to move from Slack to a support tool. For me, the bigger warning”
“Probably depends on whether you're selling something that requires a lot of customer support. I look after [a small SaaS](https://dibsonstuff.com) with a few hundred companies using it, and the support burden is basically non-existent. I guess I did try to”