Setup  Conflict  Resolution

Setup: Context and baseline

Conflict: The problem or opportunity

Resolution: Insights and recommendations

2. Narrative Arc

1. Hook: Grab attention with surprising insight

2. Context: Establish the baseline

3. Rising Action: Build through data points

4. Climax: The key insight

5. Resolution: Recommendations

6. Call to Action: Next steps

3. Three Pillars

| Pillar | Purpose | Components |

|--------|---------|------------|

| Data | Evidence | Numbers, trends, comparisons |

| Narrative | Meaning | Context, causation, implications |

| Visuals | Clarity | Charts, diagrams, highlights |

Story Frameworks

Framework 1: The Problem-Solution Story

Customer Churn Analysis

The Hook

"We're losing $2.4M annually to preventable churn."

The Context

• Current churn rate: 8.5% (industry average: 5%)
• Average customer lifetime value: $4,800
• 500 customers churned last quarter

The Problem

Analysis of churned customers reveals a pattern:

• 73% churned within first 90 days
• Common factor: < 3 support interactions
• Low feature adoption in first month

The Insight

[Show engagement curve visualization]

Customers who don't engage in the first 14 days

are 4x more likely to churn.

The Solution

1. Implement 14-day onboarding sequence

2. Proactive outreach at day 7

3. Feature adoption tracking

Expected Impact

• Reduce early churn by 40%
• Save $960K annually
• Payback period: 3 months

Call to Action

Approve $50K budget for onboarding automation.

Framework 2: The Trend Story

Q4 Performance Analysis

Where We Started

Q3 ended with $1.2M MRR, 15% below target.

Team morale was low after missed goals.

What Changed

[Timeline visualization]

• Oct: Launched self-serve pricing
• Nov: Reduced friction in signup
• Dec: Added customer success calls

The Transformation

[Before/after comparison chart]

| Metric | Q3 | Q4 | Change |

|----------------|--------|--------|--------|

| Trial  Paid | 8% | 15% | +87% |

| Time to Value | 14 days| 5 days | -64% |

| Expansion Rate | 2% | 8% | +300% |

Key Insight

Self-serve + high-touch creates compound growth.

Customers who self-serve AND get a success call

have 3x higher expansion rate.

Going Forward

Double down on hybrid model.

Target: $1.8M MRR by Q2.

Framework 3: The Comparison Story

Market Opportunity Analysis

The Question

Should we expand into EMEA or APAC first?

The Comparison

[Side-by-side market analysis]

EMEA

• Market size: $4.2B
• Growth rate: 8%
• Competition: High
• Regulatory: Complex (GDPR)
• Language: Multiple

APAC

• Market size: $3.8B
• Growth rate: 15%
• Competition: Moderate
• Regulatory: Varied
• Language: Multiple

The Analysis

[Weighted scoring matrix visualization]

| Factor | Weight | EMEA Score | APAC Score |

|-------------|--------|------------|------------|

| Market Size | 25% | 5 | 4 |

| Growth | 30% | 3 | 5 |

| Competition | 20% | 2 | 4 |

| Ease | 25% | 2 | 3 |

| Total | | 2.9 | 4.1 |

The Recommendation

APAC first. Higher growth, less competition.

Start with Singapore hub (English, business-friendly).

Enter EMEA in Year 2 with localization ready.

Risk Mitigation

• Timezone coverage: Hire 24/7 support
• Cultural fit: Local partnerships
• Payment: Multi-currency from day 1

Visualization Techniques

Technique 1: Progressive Reveal

Start simple, add layers:

Slide 1: "Revenue is growing" [single line chart]

Slide 2: "But growth is slowing" [add growth rate overlay]

Slide 3: "Driven by one segment" [add segment breakdown]

Slide 4: "Which is saturating" [add market share]

Slide 5: "We need new segments" [add opportunity zones]

Technique 2: Contrast and Compare

Before/After:

ÔöîÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö¼ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÉ

Ôöé BEFORE Ôöé AFTER Ôöé

Ôöé Ôöé Ôöé

Ôöé Process: 5 daysÔöé Process: 1 day Ôöé

Ôöé Errors: 15% Ôöé Errors: 2% Ôöé

Ôöé Cost: $50/unit Ôöé Cost: $20/unit Ôöé

ÔööÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö┤ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÿ

This/That (emphasize difference):

ÔöîÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÉ

Ôöé CUSTOMER A vs B Ôöé

Ôöé ÔöîÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÉ ÔöîÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÉ Ôöé

Ôöé Ôöé ÔûêÔûêÔûêÔûêÔûêÔûêÔûêÔûê Ôöé Ôöé ÔûêÔûê Ôöé Ôöé

Ôöé Ôöé $45,000 Ôöé Ôöé $8,000 Ôöé Ôöé

Ôöé Ôöé LTV Ôöé Ôöé LTV Ôöé Ôöé

Ôöé ÔööÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÿ ÔööÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÿ Ôöé

Ôöé Onboarded No onboarding Ôöé

ÔööÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÿ

Technique 3: Annotation and Highlight

import matplotlib.pyplot as plt

import pandas as pd

fig, ax = plt.subplots(figsize=(12, 6))

Plot the main data

ax.plot(dates, revenue, linewidth=2, color='#2E86AB')

Add annotation for key events

ax.annotate(

'Product Launch\n+32% spike',

xy=(launch_date, launch_revenue),

xytext=(launch_date, launch_revenue * 1.2),

fontsize=10,

arrowprops=dict(arrowstyle='->', color='#E63946'),

color='#E63946'

)

Highlight a region

ax.axvspan(growth_start, growth_end, alpha=0.2, color='green',

label='Growth Period')

Add threshold line

ax.axhline(y=target, color='gray', linestyle='--',

label=f'Target: ${target:,.0f}')

ax.set_title('Revenue Growth Story', fontsize=14, fontweight='bold')

ax.legend()

Presentation Templates

Template 1: Executive Summary Slide

ÔöîÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÉ

Ôöé KEY INSIGHT Ôöé

Ôöé ÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔòÉÔöé

Ôöé Ôöé

Ôöé "Customers who complete onboarding in week 1 Ôöé

Ôöé have 3x higher lifetime value" Ôöé

Ôöé Ôöé

Ôö£ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö¼ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöñ

Ôöé Ôöé Ôöé

Ôöé THE DATA Ôöé THE IMPLICATION Ôöé

Ôöé Ôöé Ôöé

Ôöé Week 1 completers: Ôöé Ô£ô Prioritize onboarding UX Ôöé

Ôöé ÔÇó LTV: $4,500 Ôöé Ô£ô Add day-1 success milestones Ôöé

Ôöé ÔÇó Retention: 85% Ôöé Ô£ô Proactive week-1 outreach Ôöé

Ôöé ÔÇó NPS: 72 Ôöé Ôöé

Ôöé Ôöé Investment: $75K Ôöé

Ôöé Others: Ôöé Expected ROI: 8x Ôöé

Ôöé ÔÇó LTV: $1,500 Ôöé Ôöé

Ôöé ÔÇó Retention: 45% Ôöé Ôöé

Ôöé ÔÇó NPS: 34 Ôöé Ôöé

Ôöé Ôöé Ôöé

ÔööÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö┤ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÿ

Template 2: Data Story Flow

Slide 1: THE HEADLINE

"We can grow 40% faster by fixing onboarding"

Slide 2: THE CONTEXT

Current state metrics

Industry benchmarks

Gap analysis

Slide 3: THE DISCOVERY

What the data revealed

Surprising finding

Pattern identification

Slide 4: THE DEEP DIVE

Root cause analysis

Segment breakdowns

Statistical significance

Slide 5: THE RECOMMENDATION

Proposed actions

Resource requirements

Timeline

Slide 6: THE IMPACT

Expected outcomes

ROI calculation

Risk assessment

Slide 7: THE ASK

Specific request

Decision needed

Next steps

Template 3: One-Page Dashboard Story

Monthly Business Review: January 2024

THE HEADLINE

Revenue up 15% but CAC increasing faster than LTV

KEY METRICS AT A GLANCE

ÔöîÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö¼ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö¼ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö¼ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÉ

Ôöé MRR Ôöé NRR Ôöé CAC Ôöé LTV Ôöé

Ôöé $125K Ôöé 108% Ôöé $450 Ôöé $2,200 Ôöé

Ôöé Ôû▓15% Ôöé Ôû▓3% Ôöé Ôû▓22% Ôöé Ôû▓8% Ôöé

ÔööÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö┤ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö┤ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔö┤ÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÇÔöÿ

WHAT'S WORKING

Ô£ô Enterprise segment growing 25% MoM

Ô£ô Referral program driving 30% of new logos

Ô£ô Support satisfaction at all-time high (94%)

WHAT NEEDS ATTENTION

Ô£ù SMB acquisition cost up 40%

Ô£ù Trial conversion down 5 points

Ô£ù Time-to-value increased by 3 days

ROOT CAUSE

[Mini chart showing SMB vs Enterprise CAC trend]

SMB paid ads becoming less efficient.

CPC up 35% while conversion flat.

RECOMMENDATION

1. Shift $20K/mo from paid to content

2. Launch SMB self-serve trial

3. A/B test shorter onboarding

NEXT MONTH'S FOCUS

• Launch content marketing pilot
• Complete self-serve MVP
• Reduce time-to-value to < 7 days

Writing Techniques

Headlines That Work

BAD: "Q4 Sales Analysis"

GOOD: "Q4 Sales Beat Target by 23% - Here's Why"

BAD: "Customer Churn Report"

GOOD: "We're Losing $2.4M to Preventable Churn"

BAD: "Marketing Performance"

GOOD: "Content Marketing Delivers 4x ROI vs. Paid"

Formula:

[Specific Number] + [Business Impact] + [Actionable Context]

Transition Phrases

Building the narrative:

ÔÇó "This leads us to ask..."

ÔÇó "When we dig deeper..."

ÔÇó "The pattern becomes clear when..."

ÔÇó "Contrast this with..."

Introducing insights:

ÔÇó "The data reveals..."

ÔÇó "What surprised us was..."

ÔÇó "The inflection point came when..."

ÔÇó "The key finding is..."

Moving to action:

ÔÇó "This insight suggests..."

ÔÇó "Based on this analysis..."

ÔÇó "The implication is clear..."

ÔÇó "Our recommendation is..."

Handling Uncertainty

Acknowledge limitations:

ÔÇó "With 95% confidence, we can say..."

ÔÇó "The sample size of 500 shows..."

ÔÇó "While correlation is strong, causation requires..."

ÔÇó "This trend holds for [segment], though [caveat]..."

Present ranges:

ÔÇó "Impact estimate: $400K-$600K"

ÔÇó "Confidence interval: 15-20% improvement"

ÔÇó "Best case: X, Conservative: Y"