> This page is for version v8.3.0 (default).
> For other versions, use one of these documentation indexes:
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> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.workflows.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.workflows.com/_mcp/server.

# Hire and Retain Top Talent

![Mind Reasoner](/_fern-img/466e07efd0202b28f29ec8dda3be88918c85104c2652efceb8ff717127f861ca.webp)

> **The Paradigm Shift**
>
> **Stop guessing in high-stakes HR decisions.** Create minds of candidates and employees. Predict exactly how they'll respond—before offers, performance conversations, and retention discussions.
>
> **Result:** Hire better talent and retain your best people.

---

## Why HR Decisions Fail

#### The Problem

**You're making critical decisions blind:**

* Will this candidate accept our offer?
* Is this employee about to leave?
* How will they respond to feedback?
* What keeps our top performers here?

You're guessing. And losing talent because of it.

#### The Solution

**Make decisions knowing:**

* Exactly what motivates this candidate
* Which employees are flight risks
* How to frame difficult conversations
* What retains your best people

No more guessing. Just better talent decisions.

---

## How It Works

**1. Create Candidate/Employee Minds**

Upload interview transcripts, 1-on-1 notes, or conversation records. Training takes 5-15 minutes per person to create digital twins that think and respond like your candidates and employees.

**2. Predict Their Responses**

Ask the mind any question: "Will you accept our offer at this salary?" or "Are you considering leaving? What keeps you here?" Know exactly what they'll say before the conversation.

**3. Make Better Talent Decisions**

Enter conversations prepared with the right offer for THIS candidate, retention approach for THIS employee, and feedback framing that resonates. Hire and retain significantly more top talent.

---

## What You Can Predict

#### [Candidate Responses](/workflow-hr-predict-candidates)

Know if candidates will accept before making offers

**Predict:**

* Salary expectations and negotiation
* What motivates them most
* Competing offers and decision factors
* Cultural fit and concerns

**Outcome:** Win top talent with tailored offers

#### [Employee Retention](/workflow-hr-strengthen-engagement)

Identify flight risk and address concerns proactively

**Predict:**

* Who's considering leaving
* What keeps them vs. what drives them away
* Response to retention conversations
* Career development needs

**Outcome:** Retain your best people

#### [Performance Conversations](/workflow-hr-strengthen-engagement)

Know how employees will respond to feedback

**Predict:**

* How they'll receive critical feedback
* What framing resonates with them
* Defensive vs. receptive responses
* What motivates improvement

**Outcome:** Have more effective performance conversations

#### [Team Dynamics](/workflow-hr-strengthen-engagement)

Predict team reactions to changes and conflicts

**Predict:**

* Responses to organizational changes
* Conflict resolution approaches
* Team morale impact
* Who needs proactive conversations

**Outcome:** Navigate team challenges successfully

---

## Quick Start

**1. Get Access**

Set up MCP Server (5 minutes, no coding): [MCP Quick Start →](/mcp-quickstart)

**2. Create First Mind**

In Claude: `"Create a mind for [Candidate/Employee Name] using /path/to/interview-transcript.vtt"`. Wait 5-15 minutes for training.

**3. Predict and Act**

Ask: `"Will you accept our offer at $150K? What concerns do you have about joining?"` Get predictions. Tailor your approach. Win the talent.

---

## Implementation

#### MCP (No Code)

**Use Mind Reasoner through Claude Code**

**You:** `"Create mind for Sarah Kim, Senior Engineer using /Documents/interviews/sarah-kim-interview.vtt"`

**Mind Reasoner:** `Created. Training (~10 min)`

**You:** `"$150K base + $50K equity. Accept? Concerns? Motivations?"`

**Mind Reasoner:**

```
UNLIKELY at this package

Priorities:
1. Comp Gap: $150K below market (has $165K offers)
2. Equity: Skeptical, discounts startup equity value
3. Technical Growth: #1 motivation (cutting-edge problems, autonomy)

Winning offer:
- $165K base (market rate)
- $30K equity (reduced)
- Lead role on AI infrastructure
- Frame as technical growth
```

[See All MCP Tools →](/mcp-tools)

#### Direct API

```javascript
const prediction = await fetch('https://api.reasoner.com/api/mindsim/simulate', {
  method: 'POST',
  headers: { 'Authorization': `Bearer ${API_KEY}`, 'Content-Type': 'application/json' },
  body: JSON.stringify({
    mindId: candidateMindId,
    scenario: { message: "$150K base + $50K equity. Accept? Concerns?" }
  })
}).then(r => r.json());
```

[Full API Documentation →](/api-quick-start)

---

## Next Steps

#### [Predict Candidate Responses](/workflow-hr-predict-candidates)

Win top talent with offers tailored to what they actually care about

#### [Strengthen Employee Engagement](/workflow-hr-strengthen-engagement)

Retain your best people by addressing concerns proactively

#### [MCP Quick Start](/mcp-quickstart)

Set up in 5 minutes. No coding required.

#### [API Quick Start](/api-quick-start)

Build talent prediction into your HR systems

> **Info**
>
> Questions? Email [support@reasoner.com](mailto:support@reasoner.com)