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PIQ Score Methodology

How investors evaluate startups

The PIQ Score measures your startup's fundraising readiness across 8 investor-grade dimensions — the same criteria VCs use to make funding decisions.

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How do you compare?

PIQ Score benchmarks based on thousands of analyzed pitch decks across funding stages.

Illustrative benchmarks based on analysis of successful decks

84

Top YC Companies

Grade: B+

67

Average Seed Startup

Grade: C+

52

Average Pre-seed Startup

Grade: D+

41

First-time Founder (no feedback)

Grade: D

The 8 Dimensions

Each dimension is weighted by how much investors actually prioritize it during due diligence.

Narrative Structure

15% weight

Narrative structure measures how well your deck tells a cohesive story from problem identification through to your funding ask. VCs read hundreds of decks per month — the ones that stick follow a logical arc that builds conviction slide by slide. This dimension evaluates slide ordering, information hierarchy, and whether each section naturally leads to the next.

What investors look for

Investors want to understand the problem in the first 30 seconds, see a clear solution, and feel momentum building toward the ask. They penalize decks that jump between topics or bury the lead.

Common mistakes

  • ×Starting with the solution before establishing the problem
  • ×Placing the team slide too early, breaking narrative momentum
  • ×Missing a clear transition from traction to funding rationale

90+ Excellent

Problem → Solution → Market → Traction → Business Model → Team → Ask, with each slide building on the previous.

50-70 Average

All required sections present but ordering feels arbitrary. Reader has to mentally re-sequence the story.

<40 Poor

Key sections missing or duplicated. No clear arc — reads like a collection of slides, not a narrative.

Market Sizing

15% weight

Market sizing evaluates whether you’ve defined a credible, large-enough opportunity. Investors use TAM/SAM/SOM to gauge the ceiling of your business. This dimension checks for realistic estimates, credible data sources, and whether your serviceable market is clearly articulated rather than hand-waved with a top-down “$100B market” claim.

What investors look for

VCs want a bottoms-up SAM calculation showing how many customers you can realistically serve, at what price point, within a defined geography or vertical. They discount top-down TAM numbers from analyst reports.

Common mistakes

  • ×Citing only TAM with no SAM/SOM breakdown
  • ×Using outdated or uncredited market data
  • ×Conflating addressable market with total industry revenue

90+ Excellent

Bottoms-up SAM with clear methodology: “50K SMBs in NA spending $2K/yr on X = $100M SAM.” Sources cited.

50-70 Average

TAM and SAM mentioned but derived top-down from analyst reports. No bottoms-up validation.

<40 Poor

Single “$50B market” claim with no breakdown, sourcing, or explanation of serviceable segment.

Competitive Differentiation

12% weight

Competitive differentiation assesses whether you clearly articulate why your solution wins over alternatives. This includes direct competitors, adjacent solutions, and the status quo (“doing nothing”). VCs need to believe you have a defensible moat — whether through technology, network effects, data advantages, or regulatory positioning.

What investors look for

Investors specifically look for: (1) awareness that competition exists, (2) a clear articulation of your unfair advantage, and (3) evidence that the advantage is durable, not just a feature gap that incumbents can close.

Common mistakes

  • ×Claiming “no competitors” — this signals ignorance, not opportunity
  • ×Using a feature comparison matrix without explaining why those features matter
  • ×Focusing on product features instead of structural advantages (network effects, data, IP)

90+ Excellent

Named competitors acknowledged, clear moat articulated (e.g., proprietary data from 10K users), and explained why it compounds over time.

50-70 Average

Competitors listed with a feature grid, but no clear narrative about defensibility or why you win long-term.

<40 Poor

No competition slide, or “we have no competitors” claim. No moat articulation.

Financial Clarity

15% weight

Financial clarity measures how well you present your business model, revenue projections, and unit economics. This is not about having perfect numbers — it’s about demonstrating financial literacy and realistic planning. Investors want to see that you understand your cost structure, can articulate how you make money, and have projections grounded in defensible assumptions.

What investors look for

VCs focus on unit economics (CAC, LTV, LTV/CAC ratio, payback period), gross margin trajectory, and whether revenue projections are built from realistic growth assumptions rather than hockey-stick fantasies.

Common mistakes

  • ×Projecting revenue without explaining the underlying assumptions
  • ×Ignoring unit economics entirely — revenue without margins is meaningless
  • ×Showing a hockey-stick graph with no explanation of what drives the inflection

90+ Excellent

Clear revenue model, CAC/LTV breakdown, gross margins shown, 3-year projections tied to specific growth levers.

50-70 Average

Revenue projections present but assumptions not clearly stated. Unit economics mentioned but incomplete.

<40 Poor

No financial data, or a single revenue projection chart with no supporting assumptions or unit economics.

Team Presentation

10% weight

Team presentation evaluates how effectively you showcase the people behind the company. At pre-seed and seed stages, the team is often the primary investment thesis. This dimension checks for relevant domain expertise, complementary skill sets, notable credentials, and whether you’ve addressed any obvious gaps (e.g., no technical co-founder for a deep-tech startup).

What investors look for

Investors ask: “Why is this the team to solve this problem?” They look for founder-market fit, prior exits or relevant experience, and complementary skills across the founding team.

Common mistakes

  • ×Listing job titles without explaining relevant domain expertise
  • ×Including too many advisors to compensate for a thin founding team
  • ×Not addressing obvious skill gaps (e.g., no CTO for a technical product)

90+ Excellent

Founders with clear domain expertise, complementary skills, prior relevant experience. Skill gaps acknowledged with a hiring plan.

50-70 Average

Team bios present but generic. Hard to see why this specific team is uniquely suited to the problem.

<40 Poor

No team slide, or only names and titles with no relevant background information.

Ask Justification

13% weight

Ask justification evaluates whether your funding request is clearly rationalized. It’s not just about stating an amount — it’s about connecting every dollar to a milestone that de-risks the business and sets up the next raise. This dimension checks for a clear use-of-funds breakdown, a realistic runway calculation, and alignment between the ask and what it will achieve.

What investors look for

VCs want to know: what milestones will this money hit, how long will the runway last, and what will the company look like when it’s time to raise again? A vague “$2M for growth” is a red flag.

Common mistakes

  • ×Stating a round size without a use-of-funds breakdown
  • ×Not connecting the raise to specific, measurable milestones
  • ×Asking for too much or too little relative to the stage and market

90+ Excellent

Clear ask with percentage-based use of funds (40% eng, 30% go-to-market, 20% ops, 10% buffer), tied to 18-month milestones.

50-70 Average

Ask amount stated with a general use of funds slide, but milestones are vague or not tied to specific outcomes.

<40 Poor

No ask slide, or just a number with no rationale, breakdown, or milestone alignment.

Design Quality

10% weight

Design quality measures the visual professionalism of your deck. This isn’t about aesthetics for their own sake — it’s about whether design choices support or hinder communication. Poor design creates cognitive friction that makes investors work harder to extract your message. Good design is invisible: it guides attention, creates hierarchy, and builds trust.

What investors look for

VCs form impressions in seconds. A polished deck signals operational rigor. They look for: consistent typography, adequate whitespace, readable charts, and professional color usage. Cluttered slides suggest cluttered thinking.

Common mistakes

  • ×Cramming too much text on a single slide — if you need to squint, there’s too much
  • ×Inconsistent fonts, colors, or layouts across slides
  • ×Using clip art, stock photos, or default PowerPoint templates

90+ Excellent

Consistent design system, clear visual hierarchy, one key message per slide, professional charts and diagrams.

50-70 Average

Generally clean but inconsistent — some slides polished, others feel rushed. Minor readability issues.

<40 Poor

Default template, wall-of-text slides, inconsistent branding, unreadable charts or graphs.

Data Credibility

10% weight

Data credibility assesses whether your claims are backed by evidence. Investors are pattern-matching for founders who understand their metrics and can present data honestly. This dimension checks for traction evidence (revenue, users, growth rates), cited sources for market claims, social proof (logos, partnerships, press), and whether numbers are specific rather than vague.

What investors look for

VCs discount vague claims (“growing fast”) and reward specificity (“340% MoM growth, 2.1K MAU, $48K MRR”). They also check for consistency — do the numbers across slides tell a coherent story?

Common mistakes

  • ×Using qualitative language (“rapid growth”) instead of specific metrics
  • ×Presenting inflated or cherry-picked numbers that don’t hold up to scrutiny
  • ×Making market claims without citing sources or methodology

90+ Excellent

Specific metrics throughout (MRR, growth rate, CAC, retention), sources cited, logo wall of real customers/partners.

50-70 Average

Some real numbers but mixed with vague claims. Sources present for some data but not all.

<40 Poor

No traction data, or only qualitative claims. Unverifiable numbers with no context or sourcing.

Grade Scale

Your PIQ Score maps to a letter grade investors instantly understand.

A+
A
A-
B+
B
B-
C+
C
C-
D+
D
F
90–100ExceptionalInvestor-ready, compelling on all dimensions
75–89StrongMinor improvements needed, fundable deck
60–74AverageSignificant gaps that need addressing
40–59Below AverageMajor issues, substantial rework required
0–39PoorFundamental rework needed across the board

Methodology

How the PIQ Score is calculated.

Weighted scoring model

Each of the 8 dimensions receives an individual score from 0 to 100. The overall PIQ Score is the weighted average, where Narrative Structure, Market Sizing, and Financial Clarity carry the highest weights (15% each) because they have the strongest correlation with successful fundraising outcomes.

AI-powered analysis

PitchIQ uses advanced language models trained on thousands of successful pitch decks to evaluate each dimension. The analysis considers slide content, structure, data quality, and visual presentation to produce actionable scores and feedback.

Continuous calibration

Benchmarks are updated regularly based on aggregated, anonymized scoring data. The system learns from outcomes to ensure PIQ Scores remain predictive of real fundraising success.

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