Use cases
Offers
Pressure-test an offer before it goes out
Know if an offer will win and whether it breaks internal equity.
The prompt
Our draft offer for a Senior Account Executive in New York is $140k base and $280k OTE. The candidate has a competing offer at $150k base. Where does our offer land against the market and our current team? What should we do?
Then try
- What sign-on bonus closes the gap without changing base?
- Update the offer letter with that structure.
What you get back
.
Pave Agent
Sample output with illustrative data
Your draft is at the 55th percentile on base and the 62nd on OTE. Matching $150k base puts this hire above 4 of your 6 current Senior AEs in New York. Recommendation: hold base and add a $15k sign-on bonus.
Option | Base | OTE | Internal equity
Current draft | $140,000 | $280,000 | In line
Match base | $150,000 | $290,000 | Above 4 of 6
Sign-on instead | $140,000 | $280,000 + $15k | In line
Sources
Draft offer, HRIS, Market Data
The problem
A candidate has a competing offer. Recruiting wants to match. You need to know where the offer lands against market and against the people already in the role.
The old way
- Ask comp for a market check and wait
- Look up current team pay separately
- Decide under time pressure with half the picture
Why it works in Pave
Market and team in one answer
You see the competitive position and the equity risk side by side.
Sales comp, done right
OTE and pay mix benchmarks, not just base.
Straight to the letter
The chosen structure flows into a Visual Offer Letter.
Data it uses
Your data
- Draft offer
Base, variable and equity - Current team pay
People in the same role and location - Pay bands
Range for the level
Pave intelligence
- Market Data benchmarks
Base and OTE for sales roles - Peer cohort
Companies you compete with for talent
What you need
Market Data Pro, Visual Offer Letters
See it on your data
We'll run this prompt in your Pave instance before we ever meet.
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