What it does
Create a 30-60-90 Day Plan is a free AI skill for hiring managers and HR partners. Give it the role, the start date and the outcomes you expect. It drafts an onboarding plan: a pre-boarding checklist, the first week, then priorities and check-ins for days 30, 60 and 90.
It works in Claude, ChatGPT, Microsoft Copilot and other AI Assistants.
The role and team, and the three to five outcomes you expect in the first months
The start date and working pattern (office, hybrid or remote; full or part time)
Optional: key people, a buddy, tools and training, their background, any adjustments asked for
A pre-boarding checklist, with an owner and a date for each item
A day-by-day first week, with a first small task they can finish that week
For each period: priorities, outcomes, relationships and learning
Two-way check-ins, and a day-90 note on what the role really needed
Signs onboarding is on track, and early warning signs
How it helps
It works like a 30-60-90 day plan template filled in from your notes, and asks you for anything missing.
Set-up comes first
The plan starts with what must be ready before day one, each item with an owner and a date. First-week meetings fill less than half of each day.
Each stage builds on the last
Periods are named by purpose (Learn, Contribute, Own). Early outcomes are about understanding, later ones about delivery, tied to your outcomes. Where you haven't said what good looks like, it writes [TBC] rather than inventing goals.

Support, not probation
Check-ins run weekly in month one, then fortnightly, with questions for both sides. The plan never rates the new hire.
Why we think it's useful
New HR Business Partner starting 3 Nov at Fernhill Logistics, supports our 2 warehouses (Leeds + Doncaster, ~300 people). D.W. comes from retail HR so knows ER but not logistics. Hybrid, 3 days in. I'm Sam, Head of People.
What I need by end of first months: owns ER cases for both sites, builds relationships with the two site managers (Kev in Leeds, Aisha in Doncaster), runs the absence review with the site managers, starts on the exit interview data, we lose too many pickers in the first 3 months.
Peak starts w/c 24 Nov (Black Friday volumes), lots of agency temps, sites get hectic.
Fictional company, role, candidate and people.
Get this skill
Which AI do you use?
Closing the predictive-validity loop requires structured pre-hire data on every requisition. Assessment scores. Behavioral profiles. Hard-skills signals including AI fluency. Without that dataset, you cannot correlate pre-hire signals with post-hire QoH. You cannot tune the next cohort sharper than the last. The hiring system stays static. The score drifts.
Bryq builds the pre-hire dataset that makes the loop possible.
Claude
ChatGPT
Microsoft Copilot
Something else (Gemini, Mistral and others)
Better with Bryq
Already use Bryq? Add your assessment results.
Link your Bryq account to your AI assistant, and five skills can include your candidates' Bryq results. For example, your debrief shows them next to the interview notes, and your follow-up questions focus on where the two differ. The link only reads data; it never changes anything in Bryq. Results you bring into a chat are shared with your AI provider, like anything else you paste in. Every skill works fully without it.
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