The Fund Narrative Framework: how to pitch your fund to LPs

Introduction: why narrative matters in fund fundraising

When Limited Partners evaluate hundreds of fund opportunities each year, they face a fundamental challenge: How do you compare a European fintech seed fund with a US healthcare growth fund? How do you assess whether a first-time manager in climate tech represents a better opportunity than an established firm's fifth vehicle?

The answer lies not just in returns data or market analysis – it lies in narrative clarity.

A fund narrative is the strategic story that helps LPs understand three things: what kind of fund they're evaluating, which specific market opportunity it captures, and why this team is positioned to win. In a market where LPs receive dozens of pitches daily, narrative clarity is the difference between a 30-minute courtesy call and a serious due diligence process.

This playbook provides a systematic framework for building fund narratives that create clarity, establish credibility, and drive conviction. Each section addresses a specific question LPs need answered. Together, they form a complete story of opportunity and execution.

Market forces: the context that creates opportunity

The Core Question: What's changing in the world that creates attractive investment opportunities right now?

Every strong fund narrative begins with the environment, not the fund. LPs need to understand the external forces reshaping how value is created and captured before they can evaluate your strategy.

What to communicate

Describe the 2-4 major shifts creating new investment opportunities:

• Technology shifts that enable new business models (e.g., cloud infrastructure enabling vertical SaaS, AI reducing software development costs)
• Regulatory changes that open or reshape markets (e.g., open banking regulations, data privacy laws)
• Economic trends that affect capital needs and exit paths (e.g., interest rate environments, M&A activity, IPO markets)
• Behavioral changes in customers or businesses (e.g., remote work adoption, B2B buying processes, enterprise software procurement)

How to present this

Focus on implications rather than descriptions. Don't just say "AI is transforming software development." Explain what this means: "Companies can now build technical products with 60% smaller engineering teams, fundamentally changing the unit economics of B2B software and creating opportunities in previously uneconomical vertical markets."

Example: A European B2B software fund might frame their context: "Three forces are converging in European enterprise software: SMBs are digitizing operations post-pandemic, creating a €40B addressable market previously dominated by on-premise legacy systems. Cloud infrastructure costs have dropped 70% in five years, making it economically viable to serve mid-market customers profitably. And US-style SaaS penetration in Europe remains at 40% of American levels, despite similar business needs."

What not to do

• Avoid generic macro trends that apply to every fund ("digital transformation is accelerating")
• Don't present technology descriptions without business implications
• Skip the comprehensive industry report – focus on 2-3 forces that directly relate to your thesis

The Outcome: After reading this section, an LP should understand why now is the right time for this type of fund to exist and succeed.

The opportunity gap: where capital and value creation aren't meeting

The Core Question: Where are great companies being built but not adequately served by existing capital?

This is the most commonly missing or poorly executed section in fund narratives – yet it's the linchpin of your entire story. You must demonstrate that there's a mismatch between where value creation is happening and where capital is flowing.

What to communicate

Identify the specific gap you're addressing:

The Company Gap: Companies of a certain type are emerging and succeeding, but struggle to find appropriate investors.

Example: "Profitable SaaS companies growing 40-80% annually with €2-8M ARR are reaching inflection points where they need €3-10M to scale go-to-market, but they're too large for most seed funds and too small for traditional Series A funds that now write €15M+ checks."

The Geography Gap: Strong companies exist in markets underserved by professional capital.

Example: "Nordic B2B software companies have produced 12 unicorns in five years, yet the region has only 8 dedicated early-stage B2B funds compared to 60+ in the UK, creating a persistent funding gap at the seed stage."

The Expertise Gap: Companies need capital from investors who deeply understand their specific market, business model, or go-to-market motion – but such specialized investors are scarce.

Example: "Infrastructure software companies selling to DevOps teams require investors who understand developer-led growth, open-source monetization, and bottom-up adoption – expertise that exists in fewer than 15 funds globally."

How to demonstrate the gap

Use concrete evidence:

• Number and quality of companies fitting your profile
• Capital availability data (fund counts, average check sizes, dry powder)
• Outcomes showing underfunding (companies raising from suboptimal investors, taking longer to raise, accepting unfavorable terms)
• Founder testimonials about finding appropriate investors

Example: "In the last 24 months, 47 European fintech companies reached €1M ARR, a quality threshold typically indicating product-market fit. 34 of these raised their next round from generalist early-stage funds rather than fintech specialists. Our analysis shows fintech-specialist-backed companies achieve 2.1x higher revenue growth in the subsequent 18 months, yet only 3 active fintech-focused seed funds operate in Europe today."

Common pitfalls

• The "Market Size" Trap: Don't confuse total market size with opportunity gap. A €500B market doesn't mean there's a funding gap.
• The "Growth Market" Confusion: Fast-growing markets attract capital quickly. You need to show why supply isn't meeting demand despite the growth.
• The Assertion Without Evidence: "We believe climate tech is underfunded" isn't enough. Show it with data.

The Outcome: LPs should understand precisely which companies struggle to find appropriate capital, why existing investors can't serve them, and why this gap is durable enough to support your fund's investment period.

The strategy: your distinct position in the investment landscape

The Core Question: What specific type of investor are you, and how do you fit into the capital ecosystem?

Strategy is about making clear choices that position your fund distinctly in the market. LPs need to categorize your fund and understand who you compete with for deals and returns.

The five positioning dimensions

1. Stage & Maturity

Define where companies are in their journey when you invest:

• Pre-seed: Idea to early product
• Seed: Product-market fit search
• Series A: Scaling a working model
• Growth: Established businesses accelerating

Be specific about metrics: "Companies with €500K-€2M ARR, 20-40% net revenue retention, serving 10-50 customers."

2. Sector & Market Focus

Your investment domain:

• Horizontal (e.g., "B2B SaaS across all verticals")
• Vertical (e.g., "Software for logistics and supply chain")
• Thematic (e.g., "Climate tech infrastructure")

3. Geography

Where you invest and why:

• Your proximity advantage
• Market dynamics that favor your location
• Network effects you can leverage

4. Check Size & Ownership

Your financial parameters:

• Initial investment size
• Typical ownership target
• Reserve allocation for follow-ons

5. Round Role

How you participate:

• Lead investor (setting terms, taking board seats)
• Co-lead (splitting governance)
• Participant (following others' terms)

Positioning through contrast

Strong positioning emerges through clear boundaries. State what you don't do:

"We don't invest in consumer social, marketplace businesses, or services companies. We don't lead rounds smaller than €2M or larger than €8M. We don't invest outside Europe's GMT to GMT+2 time zones."

Strategy statement template

Combine your choices into a clear statement like:

"[Fund Name] is a €[X]M [Stage] fund investing €[Y-Z]M in [Sector] companies in [Geography]. We [lead/co-lead/participate in] rounds for companies with [specific maturity indicators], focusing on [specific business model or go-to-market characteristics]."

Example: "Example Fund IV is a €500M early-growth fund investing €8-20M in European B2B software companies with €3-15M ARR and proven product-market fit. We lead or co-lead Series A and B rounds, targeting 15-20% ownership in companies expanding from initial markets to pan-European or global scale."

The Outcome: Any LP should be able to quickly categorize your fund against their existing portfolio and allocation framework, and understand precisely what types of companies you will and won't pursue.

The execution model: how you turn opportunity into portfolio

The Core Question: How do you consistently find, win, and support the best investments in your domain?

Execution is where strategy meets reality. This section must demonstrate systematic advantages in building your portfolio – not just credentials or relationships, but specific capabilities that produce better deal flow, selection, and outcomes.

The four connected capabilities:

Access: how you see opportunities first and best

Access isn't about knowing everyone – it's about having systematic advantages in encountering high-quality opportunities with context and trust before they become consensus.

Demonstrate your access through:

Network Position: Specific relationships that generate proprietary deal flow

Example: "Our partners spent 8 years building go-to-market functions at Salesforce and HubSpot, where we advised 200+ Series A-stage companies on sales strategy. 34% of our last fund's deals came from founder referrals from this network."

Market Visibility: How founders in your domain find you

Example: "We publish the annual European Fintech Metrics Report, downloaded by 2,000+ founders, and host quarterly CFO roundtables for 50+ fintech leaders, creating systematic access to companies 12-18 months before they fundraise."

Sourcing Infrastructure: Systematic approaches to finding companies

Example: "We track 1,200 European B2B companies monthly through a proprietary data platform combining product signals (Builtwith, G2 reviews), hiring velocity (LinkedIn), and founder backgrounds, identifying inflection points 6-9 months before companies begin fundraising processes."

Selection: how you identify winners

Selection is your framework for evaluating opportunities and making investment decisions. LPs want to understand what you look for and how you assess it.

Articulate your selection criteria:

Primary Value Drivers: What predicts success in your domain?

Example: "In vertical SaaS, we prioritize workflow integration depth over feature breadth. Companies that become systems of record in their vertical create 3-4x more enterprise value than those offering point solutions."

Key Diligence Areas: What do you examine most carefully?

Example: "For marketplace businesses, we spend 60% of diligence on supply-side economics: unit-level profitability, retention curves, and defensibility of supply relationships. We've built a 50-metric framework we apply to every marketplace investment."

Decision-Making Process: How do you reach investment decisions?

Example: "We use a two-partner consensus model: investments require both sector specialist approval and business model specialist approval, ensuring we don't miss category-specific risks or general business risks."

Winning: how you secure allocation in competitive situations

As markets have become more competitive, demonstrating why founders choose you has become critical. This isn't about "we're nice people" – it's about specific value that helps you win deals.

Show how you win through:

Decisiveness: How fast can you move?

Example: "We can provide terms within 5 days of first meeting for companies meeting our thesis. Last fund: 40% of deals closed within 14 days of first conversation."

Relevant Value-Add: Specific help you can provide

Example: "All three partners built and scaled go-to-market teams. We've developed a 90-day GTM playbook used by 85% of our portfolio, helping companies achieve 40% faster progression from first customer to €1M ARR."

Conviction Signaling: How you demonstrate commitment

Example: "We lead rounds with meaningful ownership targets (15-20%) and board seats, and we reserve 50% of fund capital for follow-ons, signaling long-term commitment that matters to founders."

Portfolio support: how you help build value after investment

The era of "value-add" claims without substance is over. Describe specific, systematic ways you improve outcomes.

Concrete support examples:

Operational Programs: Structured help you provide

Example: "We run quarterly CFO roundtables covering fundraising, metrics, financial planning, and M&A, creating peer learning networks that 92% of portfolio companies rate as highly valuable."

Strategic Resources: Specific expertise you provide

Example: "We maintain a 200-person CTO network we can activate for technical due diligence, architecture reviews, and engineering leadership hiring, providing portfolio companies access to senior technical guidance typically inaccessible to early-stage companies."

Follow-on Capital: How you support beyond initial investment

Example: "We participated in 78% of our portfolio's subsequent rounds, providing €42M in follow-on capital across our last fund, ensuring our best companies don't face funding gaps at critical scaling moments."

Connecting the capabilities

These four capabilities must work as a system. Show how they connect:

"Our fintech network provides early access to strong companies (Access). Our framework for analyzing unit economics and regulatory risk helps us identify the best opportunities (Selection). Our speed and sector expertise help us win competitive deals (Winning). And our CFO network and follow-on capital help companies scale efficiently (Support)."

The Outcome: LPs should understand exactly how you'll build a portfolio of strong investments, with specific advantages at each stage of the process.

The portfolio model: how capital flows and returns develop

The Core Question: How does your strategy translate into capital deployment, and what does the portfolio math look like?

This section connects your strategy and execution to actual fund economics. LPs need to understand your portfolio construction logic and expected return distribution.

Core portfolio parameters:

Portfolio size and concentration

State your intended portfolio construction:

• Total number of investments
• Initial check size range
• Target ownership percentages
• Number of expected winners needed

Example: "We'll invest in 25-30 companies over 4 years, with initial checks of €3-8M targeting 15-20% ownership. Our model assumes 3-5 companies will return 5x+ on invested capital, representing 70-80% of fund returns."

Capital allocation strategy

Explain your deployment approach:

Initial vs. Reserve Allocation: "We allocate 45% of fund capital to initial investments and reserve 55% for follow-ons, allowing us to double down on our best performers while maintaining pro-rata rights in Series B and C rounds."

Deployment Pace: "We invest in 6-8 companies per year, completing initial deployment in 3.5-4 years, allowing us to see how early investments develop before committing to later vintage companies."

Follow-on Philosophy: "We use a performance-based model for reserves: companies achieving key milestones (retention >85%, gross margins >70%, growth efficiency <1.5 CAC payback) receive proportionally more follow-on capital."

Expected return distribution

Provide the portfolio math:

Example Framework: "Based on our strategy and historical data for similar funds:

• 20% of investments (5-6 companies) will likely fail, returning <0.5x
• 40% (10-12 companies) will return 1-3x as solid performers
• 30% (7-9 companies) will return 3-7x as strong winners
• 10% (2-3 companies) will return >10x as home runs

This distribution, assuming full deployment of €50M fund, would generate:

• Failures: €5M invested → €2M returned
• Performers: €20M invested → €35M returned
• Winners: €15M invested → €75M returned
• Home runs: €10M invested → €120M returned
• Total: €50M deployed → €232M returned (4.6x gross MOIC, ~25% IRR)"

Value creation and exit paths

Explain how portfolio companies will create and realize value:

Value Creation Timeline: "Our typical portfolio company journey:

• Years 0-2: Product-market fit to €5M ARR
• Years 2-4: €5M to €25M ARR, achieving profitability
• Years 4-7: €25M to €100M ARR, preparing for exit
• Average hold period: 6-8 years"

Expected Exit Composition: "We expect our portfolio exits to be:

• 60% M&A (strategic acquisitions at 8-15x revenue)
• 30% secondary sales (to growth equity or PE)
• 10% IPO or IPO-track companies (valuations >€500M)"

Portfolio maturity analysis (for established managers)

If you have prior funds, show portfolio development:

"Fund II vintage year analysis:

• 2019 vintage (5 years old): 40% of companies have raised follow-on rounds at 3x+ step-ups
• 2020 vintage (4 years old): 65% are profitable or path to profitability, 2 have been acquired
• 2021 vintage (3 years old): 80% have achieved €1M+ ARR
• Overall: 15% failure rate vs. 30% industry average for our stage"

Risk management approach

Address how you manage portfolio risk:

"We manage concentration risk through:

• Maximum single investment: 8% of fund (€4M initial check)
• Sector concentration: Maximum 40% in any single vertical
• Vintage diversity: Spreading investments across multiple years
• Stage progression: Not investing in companies too early or too late for our model"

The Outcome: LPs should understand your portfolio construction logic, see the path from deployed capital to returns, and be able to model your fund's economics based on your strategy.

Track record: evidence that your model works

The Core Question: What proof do you have that your approach generates strong returns?

Track record is where narrative meets evidence. For established managers, this means fund-level performance. For emerging managers, it means deal-level outcomes and execution evidence that translates to your fund strategy.

For established managers: fund-level performance

Present performance in context, not just numbers:

Performance Metrics Framework: "Fund II (€30M, 2018 vintage, 75% deployed):

• DPI: 1.2x (€18M distributed on €15M invested)
• TVPI: 3.1x (€46M total value on €15M invested)
• Gross IRR: 32%
• Portfolio Status: 3 exits completed, 12 active investments, 2 write-offs
• Top Quartile Performance: Benchmark comparison vs. Cambridge Associates European Early-Stage Index"

Provide Context: "This performance occurred during a challenging environment for early-stage SaaS (2018-2023), where median European seed fund TVPI was 1.8x. Our outperformance stems from our systematic approach to finding companies with superior unit economics before they became consensus."

For emerging managers: deal-level evidence

If you lack fund-level track record, demonstrate:

Investment Track Record: "As angels/scouts/operators, we've made 23 investments totaling €1.2M over 4 years:

• 8 investments have raised subsequent rounds at 3x+ step-ups
• 2 exits: Sold to strategic acquirers for €45M combined (8x our capital)
• 3 unicorns: Now valued at >$1B
• 15% failure rate vs. 30% angel investor average
• Realized + Unrealized: Current portfolio value 4.2x invested capital"

Access Demonstration: "Of these 23 investments:

• 15 came through direct founder relationships before companies began formal fundraising
• 8 involved co-investing with top-tier funds (Accel, Index, Sequoia) who approached us for co-investment opportunities
• 12 were in our target sector (fintech) where our domain expertise provided selection advantage"

Selection Evidence: "Our investment framework, focused on payment infrastructure companies with API-first distribution, identified winners early:

• Invested in [Company A] at €5M valuation (now €800M)
• Invested in [Company B] at €12M valuation (now €400M)
• Passed on 40+ companies using our framework; 35 have failed or significantly underperformed"

Portfolio composition analysis

Show what you've actually built:

Distribution Quality: "Our portfolio demonstrates our thesis:

• Top 10% (2 companies): €2M invested, now worth €80M (40x) – represents 65% of portfolio value
• Next 20% (5 companies): €500K invested, now worth €15M (5x)
• Middle 40% (9 companies): €400K invested, now worth €2M (1.2x)
• Bottom 30% (7 companies): €300K invested, now worth €100K (0.3x)

This power-law distribution mirrors successful venture portfolios and validates our high-conviction approach."

Lessons learned (critical for credibility)

Address what hasn't worked:

"Our failures have taught us important lessons:

• Lesson 1: We initially underweighted founder coachability. Two investments in experienced founders with poor learning agility led to underperformance. We now assess learning orientation systematically.
• Lesson 2: We invested in 3 companies outside our core geography (US West Coast). Despite strong metrics, time zone and travel constraints limited our value-add. We now invest only in Europe where we can be present.
• Lesson 3: We backed 2 marketplace businesses where we lacked domain expertise. Both struggled. We've since formalized our "stay in your lane" policy."

Reference validation

Demonstrate external validation:

"Our performance and approach have been validated by:

• Founder NPS: 8.7/10 (based on anonymous survey of 20 portfolio founders)
• Co-investor Validation: 67% of our investments included follow-on participation from Tier 1 funds (Accel, Index, Balderton, Atomico)
• LP References: Available upon request from 12 LPs across 3 funds"

The Outcome: LPs should see concrete evidence that your approach works, understand your performance in context, and trust that you've learned from both successes and failures.

The platform: infrastructure that scales with your fund

The Core Question: What organizational infrastructure supports consistent execution across multiple funds?

This section is critical for established managers and important for emerging managers planning to build durable firms. It addresses how you maintain quality and consistency as you scale.

LP base and continuity

Demonstrate LP confidence:

"Our LP base has evolved from 15 investors in Fund I to 42 in Fund III:

• LP Retention: 85% of Fund II LPs returned for Fund III
• Average Relationship Length: 6.2 years
• LP Composition: 40% family offices, 30% fund-of-funds, 20% corporates, 10% institutions
• Reference LPs: [Names] available for direct diligence calls"

Team structure and continuity

Show organizational stability:

"Our investment team has been stable for 5+ years:

• 3 General Partners with 12+ years working together
• 2 Principals promoted from within, now investing independently
• 3 Associates in structured development program
• Zero partner departures in firm history
• Clear succession: Principals being groomed for GP roles in Fund IV"

Deal processing infrastructure

Demonstrate systematic execution:

"We've built infrastructure that maintains quality at scale:

• Deal CRM: Tracking 1,200+ companies, logging 600+ meetings annually
• Diligence Frameworks: Standardized frameworks for 5 different business models
• Reference Networks: 200+ operators we can activate for reference calls within 24 hours
• Data Room Standards: Standardized diligence requirements enabling 2-week processes"

Portfolio support infrastructure

Show how you help companies systematically:

"Our platform provides:

• Talent Network: 150+ vetted candidates for CXO roles, placed 23 executives in portfolio
• Customer Introductions: 200+ enterprise relationships, generated €12M in pilot contracts
• Expert Network: 300+ domain experts available for office hours, 500+ sessions conducted
• Co-investor Network: Relationships with 40+ growth funds for subsequent rounds"

Reporting and governance standards

Demonstrate institutional quality:

"We maintain institutional-grade operations:

• Quarterly LP Reporting: Standardized 25-page reports with portfolio metrics, NAV methodology, and market updates
• Annual Meetings: In-person LP meeting with portfolio company presentations
• Governance: Independent advisory board, external audits, institutional-quality fund administration
• Compliance: Regular compliance reviews, conflicts management policies, insider trading protocols"

Knowledge management

Show how you improve systematically:

"We've built institutional knowledge systems:

• Investment Memos: All memos archived and reviewed quarterly for pattern recognition
• Post-Mortem Process: Structured analysis of every exit and write-off
• Metrics Database: Tracking 50+ KPIs across all portfolio companies to identify patterns
• Quarterly Strategy Reviews: Team retrospectives to update our frameworks based on new data"

The Outcome: LPs should see that you have the infrastructure to execute consistently across funds, maintain quality as you scale, and continuously improve your approach.

The team: why these people can execute this strategy

The Core Question: Why is this specific team uniquely positioned to execute this strategy and generate strong returns?

The team section must directly connect individual capabilities to the specific requirements of your strategy. Generic credentials aren't enough – show why this team's specific experience, expertise, and network match what your strategy demands.

Team-strategy fit framework

For each key team member, connect their background to specific strategy needs:

Example Structure:

[Name], General Partner

Strategic Relevance: "Our strategy requires deep relationships with European fintech founders and the ability to evaluate payment infrastructure technology. [Name] brings:

• 10 years at Stripe as VP Engineering, where she built payment processing systems now handling €50B annually and worked with 200+ fintech founders integrating Stripe
• Network Access: Personal relationships with founders of 8 of Europe's 12 fintech unicorns, plus 40+ CEOs of €10-100M ARR fintech companies
• Technical Credibility: Can evaluate infrastructure architecture, API design, and technical moats that separate winners from losers in fintech infrastructure
• Board Experience: 6 board seats, including 2 successful exits, demonstrating ability to guide companies through scaling challenges"

Complementary skill sets

Show how team members complement each other:

"Our three-partner model provides comprehensive coverage:

• Partner A: Technical depth (former CTO) evaluates product and technology
• Partner B: Go-to-market expertise (former VP Sales) assesses business model and scaling potential
• Partner C: Financial/strategic (former M&A banker) handles valuation, deal structuring, and exit strategy

Every investment requires approval from two of three partners, ensuring we don't miss technical, commercial, or financial risks."

Decision rights and governance

Clarify how the team works:

"Decision-making structure:

• Sourcing: Any partner can pursue opportunities
• Initial Investment: Requires 2 of 3 GP approval for investments up to €5M
• Large Investments: Unanimous GP approval for >€5M
• Follow-ons: Lead partner recommendation, 2 of 3 approval
• Board Seats: Typically taken by partner leading the investment"

Track record attribution

Connect past success to team members:

"Our established track record directly reflects this team's capabilities:

• Partner A led our 3 best-performing investments (8x, 12x, 15x), all technical infrastructure companies
• Partner B sourced 60% of Fund II's deals through her founder network
• Partner C negotiated favorable terms in 85% of our competitive processes

This isn't a team that inherited a track record – this is the team that built it."

Emerging manager team positioning

For first-time funds, address the team question differently:

"While this is our first fund together, we bring:

• Combined 40 years of startup and investing experience
• 23 angel investments with 4.2x returns, demonstrating our selection ability
• Operating Experience: Built and sold 2 companies for €120M combined
• Domain Expertise: We were operators in the exact space we're investing in
• Network Proof: 15 of our first 18 fund conversations came through direct founder referrals, demonstrating pre-existing access"

Team development and succession

For established platforms, address continuity:

"We're building a multi-generational firm:

• Principals Track: 2 principals on 4-year path to GP, already leading investments independently
• Associate Program: 3-year structured program producing future principals
• Compensation: Junior team members earn carry on deals they source, aligning incentives
• Succession Planning: Clear path for Principals to assume GP roles in Fund IV (2027)"

The Outcome: LPs should understand exactly why this specific team is capable of executing this specific strategy, with clear connections between individual capabilities and strategic requirements.

Fund terms and process: the mechanics of partnership

The Core Question: What are the economic terms, governance structure, and process for participating in this fund?

This section provides the practical information LPs need to evaluate the investment structure and move forward with diligence.

Core economic terms

Present terms clearly:

Fund Size and Structure:

• Target Fund Size: €50M
• Minimum Fund Size: €40M (below which fund won't proceed)
• Fund Term: 10 years (with two 1-year extensions)
• Management Fee: 2% on committed capital during investment period (years 1-5), 2% on net invested capital thereafter
• Carry: 20% carried interest
• Hurdle: 8% preferred return to LPs before carry
• GP Commit: €2.5M (5% of fund), demonstrating alignment

Investment Terms:

• Minimum LP Commitment: €500K
• No Management Fee Offsets: All management fees paid to GPs (industry-standard approach)

Governance and LP rights

Detail governance structure:

Advisory Board:

• 3 LP representatives elected by LPs
• Meets quarterly
• Reviews conflicts, valuations, and major fund decisions
• No day-to-day investment approval required

LP Rights:

• Annual audited financials
• Quarterly reporting on portfolio and NAV
• Annual in-person meeting
• Standard ILPA-aligned LP rights (no-fault divorce, key person provisions)

Key Person Provision:

• Triggers if 2 of 3 GPs depart
• Suspends new investments until LP vote
• LPs can choose to continue or wind down fund

Valuation methodology

Explain how you value portfolio:

"We use conservative valuation approaches:

• Mark-to-Last-Round: We value investments at the last round price
• Discount Applied: 20% discount for rounds >18 months old
• Public Comparables: For late-stage companies, we use public company multiples with 30% private company discount
• Write-Down Policy: Automatic 50% write-down for companies that haven't raised in 24 months and show distress signals
• External Validation: All valuations reviewed by third-party administrator and audited annually"

Fee and expense structure

Be transparent about costs:

What Management Fees Cover:

• Partner salaries
• Team salaries
• Office and infrastructure
• Deal sourcing costs
• Portfolio support activities

What LPs Pay Additionally:

• Legal and fund formation costs (one-time, ~€200K)
• Audit and administrative fees (~€50K annually)
• Portfolio company transaction costs (legal, diligence)

No Double-Dipping: "We do not charge portfolio companies for our involvement. Board fees and advisory income are returned to the fund, not retained by GPs."

Fundraising timeline and process

Provide clear path forward:

Fundraising Timeline:

• Q1 2026: Initial LP meetings and term sheet discussions (current)
• Q2 2026: Due diligence period, final commitments
• July 2026: First close target (€30M minimum)
• October 2026: Final close target (€50M maximum)

Due Diligence Process:

We welcome comprehensive diligence and provide:

• Full track record data with company-level performance
• Access to portfolio founders for reference calls
• LP references from existing investors
• Financial statements and fund audits
• Detailed investment memos for prior investments
• Team background verification

Capital Calls:

• Capital called quarterly as needed for investments
• 10-day notice for capital calls
• Predictable deployment pace based on investment pacing

ESG and impact considerations

Address ESG if relevant:

"While not an impact fund, we maintain strong ESG standards:

• We exclude investments in weapons, tobacco, fossil fuel extraction, and predatory lending
• We track portfolio company diversity metrics and encourage inclusive hiring
• We vote our board seats in favor of strong governance and stakeholder consideration
• Annual ESG reporting available to LPs"

The Outcome: LPs have all information needed to evaluate fund terms, understand the partnership structure, and know the process for moving forward with commitment.

Conclusion: from narrative to conviction

A fund narrative is not just a pitch deck – it's a systematic framework for helping sophisticated investors understand your opportunity, your approach, and your capability.

The strongest fund narratives share common characteristics:

Clarity over comprehensiveness. They don't try to include everything; they focus on what matters most for decision-making.

Specificity over abstraction. They use concrete examples, specific numbers, and real situations rather than general principles.

Evidence over assertion. They demonstrate rather than claim, showing proof points for every key argument.

Connection over compilation. Each section builds on previous sections, creating a coherent logic that flows from market context through strategy to team.

When these elements work together, the narrative creates something powerful: conviction. LPs can see clearly what you're building, understand why it will work, and believe that you're the team to execute it.

That conviction is the foundation of every LP commitment.

Appendix: narrative assessment checklist

Use this checklist to evaluate your fund narrative:

1. Market forces

• Have you identified 2-4 specific forces creating opportunity?
• Do these forces have clear business implications, not just descriptions?
• Can an LP understand why now is the right time for this fund?

2. Opportunity gap

• Have you shown a specific mismatch between where companies are emerging and where capital flows?
• Do you provide concrete evidence of the gap (data, examples, testimonials)?
• Is the gap durable enough to support a 3-5 year investment period?

3. Strategy

• Can any LP categorize your fund clearly (stage, sector, geography, check size)?
• Have you defined clear boundaries (what you don't do)?
• Is your positioning distinct from existing funds in the market?

4. Execution model

• Have you explained systematic advantages in deal flow access?
• Is your selection framework specific to your strategy?
• Can you demonstrate how you win competitive deals?
• Is your portfolio support concrete and measurable?

5. Portfolio model

• Is your capital allocation logic clear (initial vs. reserves)?
• Have you modeled expected return distribution?
• Are exit paths realistic for your strategy?
• Can LPs understand the portfolio math?

6. Track record

• Have you provided performance in context, not just raw numbers?
• Does your evidence connect to your current strategy?
• Have you addressed failures and lessons learned?
• Is external validation demonstrated?

7. Platform

• Have you shown LP continuity and satisfaction?
• Is team structure stable and clear?
• Do you have infrastructure that scales?
• Are reporting and governance institutional-quality?

8. Team

• Have you connected each team member's experience to strategy requirements?
• Are complementary skills demonstrated?
• Is decision-making structure clear?
• Can LPs see why this specific team can execute this specific strategy?

9. Terms

• Are all relevant economic terms clearly stated?
• Is the governance structure appropriate?
• Is the fundraising process and timeline clear?
• Have you been transparent about fees and expenses?

Prefer a PDF? Download The Fund Narrative Framework.