> 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.

# Ship Features Users Actually Want

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

> **The Paradigm Shift**
>
> **Stop guessing.** Create user minds from real conversations. Predict exactly how they'll respond to features, designs, and decisions—before you build.
>
> **Result:** Ship features users want. Avoid costly mistakes. Accelerate product-market fit.

---

## Why Product Decisions Fail

#### The Problem

**You build without knowing:**

* Will users actually use this feature?
* Which design will they prefer?
* What objections will they raise?
* Does this solve their real problem?

You're guessing. And wasting engineering time on features users don't want.

#### The Solution

**Build knowing:**

* Exactly what users will say about this feature
* Which design resonates with them
* What concerns they'll raise
* Whether this solves their real problem

No more guessing. Just shipping the right features.

---

## How It Works

**1. Create User Minds** → Upload transcripts from user interviews, support calls, or feedback sessions. Training: 5-15 minutes. Result: Digital twins that think like your actual users.

**2. Predict Their Response** → Ask: "Would you use this feature? Which design do you prefer?" Know how users will respond before building.

**3. Ship with Confidence** → Build features validated by actual user patterns. Higher adoption, less waste, faster product-market fit.

---

## What You Can Predict

#### [Feature Validation](/workflow-product-validate-features)

Know if users will actually use it before building

**Predict:**

* Will they use this feature?
* Does it solve their real problem?
* What concerns will they raise?
* Which use cases matter most?

**Outcome:** Build features users actually want, avoid wasting engineering time

#### [Design Decisions](/workflow-product-validate-features)

Test which design resonates before implementing

**Predict:**

* Which design will users prefer?
* What will confuse them?
* What will they love vs. tolerate?
* Where will they get stuck?

**Outcome:** Ship designs users love without endless iterations

#### [Pricing & Packaging](/workflow-product-align-stakeholders)

Understand willingness to pay and packaging preferences

**Predict:**

* What would they pay for this?
* Which tier would they choose?
* What features drive upgrades?
* What feels like a must-have vs. nice-to-have?

**Outcome:** Optimize pricing and packaging for YOUR users

#### [Stakeholder Buy-In](/workflow-product-align-stakeholders)

Predict executive and internal stakeholder concerns

**Predict:**

* What will engineering leadership question?
* What will sales team need to sell it?
* Which risks will executives flag?
* What proof do stakeholders need?

**Outcome:** Navigate internal approvals and get features shipped

---

## Quick Start

**1. Get Access** → Set up MCP Server in 5 minutes, no coding required. [MCP Quick Start →](/mcp-quickstart)

**2. Create First User Mind** → In Claude: `"Create a mind for [User Name/Segment] using /path/to/user-interview.vtt"` Wait 5-15 minutes for training.

**3. Validate and Ship** → Ask: `"We're considering building [feature description]. Would you use this? What concerns would you have?"` Get predictions, validate decisions, ship with confidence.

---

## Implementation

#### MCP (No Code)

**Use Mind Reasoner through Claude Code**

No coding. Just natural conversation in Claude.

**You:**

```bash
> Create a user mind for Sarah, enterprise customer,
using /Documents/interviews/enterprise-user-sarah.vtt
```

**Mind Reasoner:**

```
✓ Created mind: "Sarah - Enterprise User"
✓ Training... (~10 min)
```

**You:**

```bash
> We're considering adding bulk export. Would you use this?
What would make you upgrade to Enterprise tier for it?
```

**Mind Reasoner:**

```
Based on Sarah's usage patterns:

YES, I would use bulk export. Here's why:

1. Current Pain: Manually exporting 20+ reports weekly
   Time cost: 3-4 hours wasted
   This is my #1 frustration

2. Willingness to Pay: Would upgrade to Enterprise
   Would pay $299/mo if bulk export included
   ...

3. Requirements: CSV/Excel export, scheduled automation

This solves my biggest pain point. I'd upgrade immediately.
```

[See All MCP Tools →](/mcp-tools)

#### Direct API

**Build user prediction into your workflow**

```javascript
const API_BASE = 'https://api.reasoner.com/api/mindsim';

// 1. Create and train user mind
const { id: mindId } = await fetch(`${API_BASE}/minds`, {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    name: 'Sarah - Enterprise User'
  })
}).then(r => r.json());

// Upload transcript and train (5-15 min)
// See API Quick Start for full workflow

// 2. Validate feature with user mind
const validation = await fetch(`${API_BASE}/simulate`, {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    mindId,
    scenario: {
      message: "We're considering adding bulk export. Would you use this? What would make you upgrade for it?"
    }
  })
}).then(r => r.json());

console.log('Feature validation:', validation.message);
```

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

---

## Next Steps

#### [Validate Features & Designs](/workflow-product-validate-features)

Learn how to validate features and designs before building

#### [Align Stakeholders & Launch](/workflow-product-align-stakeholders)

Navigate stakeholder approvals and optimize product decisions

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

Set up in 5 minutes. No coding required.

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

Build user prediction into your product workflow

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