Win Top Talent

Create minds of your candidates. Predict exactly how they'll respond to offers. Win the talent you need.

Mind Reasoner

Stop Losing Top Candidates

The shift: Create candidate minds from interviews. Know exactly what they care about, what they’ll negotiate on, and how to win them—before making offers.

Result: Significantly higher offer acceptance rates.


What You Can Predict

Offer Acceptance

Know if they’ll accept before making the offer

Predict:

  • Will they accept this compensation package?
  • What’s their actual salary expectation?
  • How much will they negotiate?
  • What’s their walk-away number?

Win candidates with tailored offers

True Motivations

Understand what actually drives their decision

Predict:

  • Money vs. growth vs. impact vs. flexibility
  • What they say vs. what they actually care about
  • Which benefits matter most
  • Deal-breakers vs. nice-to-haves

Position your offer to their real priorities

Competing Offers

Know how they’re evaluating other opportunities

Predict:

  • How they compare you to competitors
  • What other companies offer that you don’t
  • Which factors tip the decision
  • How to position your advantages

Win competitive recruiting battles

Cultural Fit

Predict if they’ll thrive in your environment

Predict:

  • Work style preferences
  • Team collaboration patterns
  • Manager relationship needs
  • Long-term retention likelihood

Make better hiring decisions


How to Predict

Upload interview transcript:

$> "Create a mind for Alex Chen, Engineering Manager candidate,
>using /interviews/alex-chen-final-round.vtt"

Training: 5-15 minutes

Ask the candidate mind:

$> "Will you accept our offer: $180K base, $40K equity, remote-first?
>What concerns will you raise? What do you care about most?"

You’ll know:

  • If they’ll accept or negotiate
  • What they’ll push back on
  • What actually motivates them
  • How to revise to win them

Tailor offer to their priorities:

  • Candidate A cares about: Growth + autonomy
  • Candidate B cares about: Comp + work-life balance
  • Candidate C cares about: Impact + team quality

Win significantly more top talent


Real Examples

Before Making Offer

You ask candidate mind:

$> "Will you accept our offer: $150K base + $50K equity?
>What concerns will you raise? What motivates you most?"

Candidate mind reveals:

OFFER ACCEPTANCE: NO (will decline or heavily negotiate)
Why I'll decline this offer:
1. Below Market Compensation
Issue: I have offers at $165K-$175K base
Your offer: $150K is significantly below
Impact: Signals you don't value me at market rate
What changes my mind: $170K+ base to be competitive
2. Equity Overweighted
Issue: I'm skeptical of startup equity value
Your offer: $50K equity assumes high valuation
Impact: I discount this to near-zero in my thinking
What I actually want: More cash, less equity
3. Hidden Motivation (not stated in interviews)
What I said: "Excited about the mission"
What I actually care about: Work-life balance
Your offer: Doesn't address this
What wins me: Explicit 40-hour week commitment + flex
If you make this offer as-is:
- I will negotiate hard on base
- Likely will decline even after negotiation
- Will accept competing offer at $165K with better balance
Revised offer that wins me:
- $170K base (competitive + shows you value me)
- $30K equity (less equity I discount anyway)
- Explicit work-life balance commitment
- Frame as "sustainable high performance"

Test Revised Offer

You ask:

$> "What if we offer $170K base, $30K equity, and explicit
>commitment to 40-hour weeks with flexibility? Will you accept?"

Candidate mind confirms:

YES. This offer wins me.
Why I'll accept:
- $170K is competitive with other offers
- Work-life balance commitment is THE differentiator
- Flexibility addresses my real concern (young kids)
- You've matched my actual priorities
My response:
"This looks great. I'm ready to accept pending background check."
You've won me by understanding what I actually care about.

In Actual Offer Call

What happens:

  • You: “We’re offering $170K with flexibility and work-life balance focus”
  • Candidate: “This is exactly what I was hoping for. I accept.”

Result: Won top candidate by predicting and addressing real priorities.


Common Scenarios

Predict:

  • Will they negotiate and on what terms
  • Their actual salary expectation
  • Which benefits they care about
  • How much flexibility you have

Know before the offer call exactly what they’ll push back on and how to respond.

Outcome: Higher offer acceptance rates

Predict:

  • How they’re comparing you to competitors
  • What other companies offer that you don’t
  • Which factors actually tip their decision
  • How to position your advantages

Win recruiting battles with strategic positioning.

Outcome: Beat larger competitors for top talent

Predict:

  • Work style and collaboration preferences
  • Manager relationship needs
  • Team dynamics fit
  • Long-term retention likelihood

Make better hiring decisions beyond technical skills.

Outcome: Hire candidates who thrive and stay

Predict:

  • What attracts them to this role vs. others
  • Compensation expectations at this level
  • Decision timeline and competing processes
  • What closes them

Win executive talent with tailored approaches.

Outcome: Successfully hire executive leaders


Quick Start

After final round interviews:

  • Upload interview transcript
  • Can be phone screen, final round, or any conversation
  • .vtt (recorded calls), .pdf, or .docx format

Training: 5-15 minutes per candidate

Before making the offer:

  • Will you accept at [compensation]?
  • What concerns will you raise?
  • What motivates you most?

Get predictions before committing

Make tailored offers:

  • Addressed to their actual priorities
  • Positioned against competitors
  • Framed in language that resonates

Result: Win significantly more top talent


Implementation

Use Mind Reasoner through Claude Code

No coding. Just natural conversation in Claude.

You:

$> Create a mind for Jessica Park, Product Manager candidate,
>using /Documents/interviews/jessica-park-final-round.vtt

Mind Reasoner:

✓ Training candidate mind... (~10 min)

You:

$> Will Jessica accept our offer: $160K base, $40K equity,
>hybrid (3 days office)? What concerns will she raise?
>What motivates her most?

Mind Reasoner:

Based on Jessica's interview patterns:
OFFER ACCEPTANCE: UNLIKELY (will negotiate or decline)
Her priorities:
1. Flexibility: "Hybrid 3 days is too much"
Why: Emphasized work-life balance in interviews
Reality: Has 2 young kids, values remote work
Risk: This could be a deal-breaker
What wins her: Remote-first or 1-2 days office max
2. Compensation: "$160K is at my range"
Why: Market rate for her experience
Reality: Acceptable if other factors align
What wins her: Not a negotiation point if flexibility works
3. Product Scope: "Will I own end-to-end?"
Why: Her #1 motivator is ownership + impact
Reality: More important than comp
What wins her: Clear ownership of product area
Revised offer that wins her:
- $160K base + $40K equity (keep as-is)
- Remote-first with optional 1 day/week office
- Ownership of [specific product area]
- Frame as "High-impact role with flexibility"
With this revision:
- Acceptance probability: 85%+
- Flexibility addresses her real concern
- Product ownership is her motivator
- Comp is acceptable

MCP Tools Reference →


Next Steps

Questions? Email support@mindreasoner.com