Anonymous Training Suggestion Box: Let the Floor Tell You What to Teach

The problem this kills

Most training plans are built top-down. A manager picks the topics, L&D books the sessions, and half the room sits through something they didn't need while the thing they're actually struggling with never gets taught. The people closest to the work — the ones who feel the gaps every single day — rarely have a safe, easy way to say "I wish someone would show me how to do X."

And when there is a way to speak up, it usually fails for three reasons. People won't be honest if their name is attached. The same request comes in fifteen slightly different ways and nobody connects the dots. And even when someone does submit an idea, it vanishes into a black hole — so next time they don't bother.

You don't need a survey platform or a developer to fix this. You need a small, anonymous suggestion box that clusters similar asks, ranks them by real demand, routes the top ones to a human to decide, and shows everyone that their voice landed somewhere.

What you'll build

A simple web app with two faces:

• For staff: an anonymous submission form (what topic, why it matters, how urgent, optional category) and a public "you said, we're doing" board showing what's being considered, planned, or done. No login, no name, no tracking.
• For your L&D lead: a private triage screen where near-identical suggestions are already grouped into clusters, ranked by how many people asked, so they can review demand, approve which clusters become roadmap candidates, and set each one's public status.

Nothing gets promoted automatically. The AI does the clustering and the ranking; a person decides what to actually pursue.

What's inside the Implementation Plan

• It starts by interviewing you about your business. Before it builds anything, the plan has the AI ask you about your team, your existing training categories, how big your staff is, what "urgent" means in your world, who the L&D decision-maker is, and the messy edge cases — then it tailors the form, the categories, the clustering, and the triage rules to your organization instead of dropping a generic template on you.
• A step-by-step build, each step ending in a ready-to-paste prompt.
• The anonymous submission form, designed so no identifying metadata is stored.
• AI clustering that groups near-duplicate requests under one clustered-suggestion ID and ranks clusters by demand.
• A private, login-protected triage and approval screen for your L&D lead.
• A public status board so staff can see their ideas go somewhere.
• A CSV export of every suggestion plus its cluster and status.
• A "No API yet?" fallback so you can launch today with zero integrations.

The governance it includes (this is the point)

• Login so only your L&D team can reach the triage screen and approve anything.
• Row-level security so one organization's suggestions are never visible to another.
• A complete audit trail — who triaged, who approved, what status changed, and when.
• A hard human-in-the-loop gate: AI drafts clusters and rankings, but nothing becomes a roadmap candidate or changes public status until your lead approves it.
• Duplicate guards built right into the model — the clustered-suggestion ID groups near-identical requests so the same ask can't inflate demand or get triaged twice.
• Anonymity by design — no names, no emails, no IP or device fingerprints tied to a submission.

Who it's for

L&D teams and ops leaders who want honest, bottom-up signal on what training people actually want — not just what leadership assumes they need. If you've ever run a one-size-fits-all training calendar and watched engagement sag, this gives you demand straight from the floor.

You've got this — paste the first prompt and let it interview you.