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Building a Compelling Point of View
Building a Compelling Point of View
Ed Moore avatar
Written by Ed Moore
Updated over 2 months ago

A strong value hypothesis and point of view (POV) are essential for successful sales engagements. PG:AI helps you build these by automatically analysing account data and aligning it with your organisation's unique value proposition.


Why Value Hypotheses Matter

Drive Strategic Conversations

  • Transform conversations from product-focused to business value-focused

  • Position yourself as a strategic advisor rather than just a vendor

  • Create meaningful connections between your solution and prospect's business objectives

Accelerate Sales Cycles

  • Demonstrate deep understanding early in the engagement

  • Build credibility faster through relevant insights

  • Reduce time spent on basic discovery

Improve Win Rates

  • Align solutions precisely with prospect needs

  • Create compelling reasons for change

  • Differentiate from competitors through strategic understanding


Prerequisites

Before building your value hypothesis with PG:AI, ensure you have:

1. A clear understanding of your organisations value proposition and capabilities

2. Access to the prospect's company in PG:AI

3. Knowledge of which key stakeholders you'll be engaging with


Creating Your Value Hypothesis

Follow these steps in PG:AI to build a compelling value hypothesis for your prospect:

Step 1: Research Current State

You can use PG:AI to quickly research understand their current state.

Overview Tab

Insights included on the overview tab:

  • How they make money

  • How they lose money

  • Strategic Priorities

  • Goals

  • Digital Strategies

  • Organisational Structure

  • Divisions Insights

  • Earnings Call Analysis

  • Geographical Operations

  • Custom Insights

  • Industry Insights


Engage Tab

Insights includes on the engage tab:

  • Value Pyramid

  • Three Whys

  • Discovery Questions

  • Persona Initiative Value Cards


Contacts Tab

Insights includes in the contacts tab:

  • Contact List

  • Contact Experience

  • Contact Initiative & Use Cases

  • Contact Discovery Questions

  • Contact Content


AI-Assistant

You can use the AI-assistant to get:

  • Any insights about the company

  • Any insights about the company and your organisation

💡 Pro Tip: Use the AI Assistant to ask specific questions about unclear points, like "How does their digital transformation strategy relate to their operational risks?"

Step 2: Research Current State

### Step 1: Understand the Current State

Use PG:AI's Overview tab to gather critical context:

**Business Context**

- How they make and lose money

- SWOT analysis

- Organizational structure

- Geographical operations

**Strategic Elements**

- Strategic priorities

- 2-year goals

- Digital strategies

- Key risks and challenges

**Market Position**

- Competitive landscape

- Industry trends

- Market challenges

- Growth opportunities

### Step 2: Identify Value Drivers

Navigate to PG:AI's Engage tab to analyze:

**Value Pyramid**

- Core business drivers

- Strategic initiatives

- Operational challenges

- Potential quick wins

**Three Whys Analysis**

- Root causes of challenges

- Business impact

- Urgency factors

**Initiative Deep Dives**

- Specific projects and programs

- Resources allocated

- Expected outcomes

- Timeline and priorities

### Step 3: Map to Your Solution

Use PG:AI's Custom Insights and Use Cases to:

1. Identify direct alignments between prospect challenges and your capabilities

2. Quantify potential impact using similar customer success stories

3. Develop specific examples of how your solution addresses their unique situation

## Building Your Point of View

### Framework Components

1. **Situation Analysis**

- Current state assessment

- Market context

- Competitive pressures

- Business imperatives

2. **Challenge Identification**

- Strategic obstacles

- Operational inefficiencies

- Risk factors

- Growth limitations

3. **Value Opportunity**

- Potential business impact

- Strategic advantages

- Operational improvements

- Risk mitigation

4. **Solution Alignment**

- Capability mapping

- Implementation approach

- Success metrics

- Expected outcomes

### Using PG:AI Features

#### AI Assistant

- Ask targeted questions about specific aspects of the business

- Generate custom insights aligned with your value proposition

- Validate hypotheses with supporting data

#### Custom Insights

- Identify industry-specific trends

- Uncover unique opportunity areas

- Map competitive advantages

#### Use Case Matching

- Align solution capabilities with specific challenges

- Provide relevant customer success stories

- Demonstrate proven value delivery

## Best Practices

### Do's

- Start with business context before solution discussions

- Use specific data points and insights from PG:AI

- Link every capability to a specific business outcome

- Include quantifiable benefits where possible

- Reference relevant success stories and benchmarks

### Don'ts

- Lead with product features

- Make generic value statements

- Ignore industry context

- Skip validation with stakeholders

- Oversimplify complex challenges

## Measuring Success

Your value hypothesis should result in:

1. Increased engagement from senior stakeholders

2. Faster progression through sales stages

3. Higher win rates

4. Larger deal sizes

5. More strategic relationships

## Pro Tips

💡 **Stakeholder Alignment**

- Use PG:AI's Contacts tab to understand each stakeholder's priorities

- Tailor your value hypothesis for different personas

- Create role-specific value statements

💡 **Continuous Refinement**

- Subscribe to company updates in PG:AI

- Regularly review and update your hypothesis

- Incorporate new insights from stakeholder conversations

💡 **Validation Process**

- Use discovery questions to validate assumptions

- Document stakeholder feedback

- Adjust your hypothesis based on new information

## Example Value Hypothesis Structure

```

1. Strategic Context

- Industry trends affecting the business

- Company-specific challenges and opportunities

- Relevant competitive pressures

2. Current State Impact

- Business implications of challenges

- Operational inefficiencies

- Risk exposure

- Missed opportunities

3. Future State Vision

- Desired business outcomes

- Operational improvements

- Risk mitigation

- Competitive advantages

4. Value Realization

- Implementation approach

- Success metrics

- Expected timeline

- ROI components

```

Remember to maintain this structure while customizing the content for each prospect's unique situation using PG:AI's insights and analysis tools.

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