business-lab worked example · go-to-market & business plan

Worked example — go-to-market & business plan for an AI-SaaS startup

This is one project worked end-to-end. We invent a small but realistic startup — Cuaderno, an AI meeting-notes assistant for European SMEs — and run it through the whole toolkit of Introduction to Business Management: market structure, the strategy frameworks (SWOT, PESTEL, Porter's Five Forces), the Business Model Canvas, a worked break-even and unit-economics analysis (contribution margin, LTV/CAC), a BCG portfolio call, and a one-page investor summary. Every framework is filled in with concrete numbers so you can see how the analysis is actually done, not just what the boxes are called. Where a number can be visualised, we link the matching interactive demo.

Project
Cuaderno · AI meeting-notes SaaS
Goal
GTM + investor-ready plan
Exercises modules
M1 → M5 + wrap-up
Key sessions
S2, S4, S6, S8, S19, S23–26
Difficulty
Intermediate
Est. effort
8–12 hours
Deliverable
Plan + 1-page investor brief
Format
Written analysis + pitch

What you produce

This page is the applied counterpart to the course outline; it is exactly the kind of artifact Groupwork 2 asks for — a complete business plan defended in a pitch (see M5 and Sessions 26–29).

1. Scenario & assumptions

Before any framework, fix the facts. A model is only as honest as the assumptions feeding it, so we state them up front and reuse the same numbers everywhere downstream.

The venture. Cuaderno is a B2B SaaS product. It joins video calls, transcribes them, and produces structured minutes, action items, and a searchable knowledge base — tuned for Spanish- and English-speaking SMEs (5–250 employees) in the EU. It is sold as a monthly per-seat subscription.

Market structure. The market is monopolistic competition (Session 2): many differentiated sellers — Otter, Fireflies, the incumbents' native tools (Zoom, Teams Copilot) — low but non-zero switching costs, and no single price-setter. That structure tells us, before any spreadsheet, that long-run economic profit is competed away unless we hold a genuine differentiator (here: EU data residency + Spanish-first quality).

Operating assumptions (the single source of truth)

Table 1 · Base-case inputs used throughout the analysis
AssumptionValueBasis / note
Price per seat / month (Pro plan)€20Mid-market positioning, below incumbents' bundled price
Avg. seats per paying account8SME team size; account ARPA = €160/mo
Variable cost per seat / month€6Transcription compute + inference + payment fees
Gross contribution margin per seat€14$p - v = 20 - 6$ → 70% margin
Fixed costs / month€42,0006 staff, cloud baseline, tools, office
Blended customer acquisition cost (CAC)€400Per account; paid + content + sales time
Monthly logo churn4%Early-stage SME; net revenue churn lower (expansion)
Target Year-1 paying accounts450Bottom-up from funnel, not top-down from TAM

Market sizing — TAM / SAM / SOM

We size bottom-up to stay honest. There are roughly 1.5M SMEs in our target EU countries that run knowledge-work meetings; at €160/account/year… per month that is the addressable spend. We take a deliberately conservative obtainable share.

Table 2 · Market sizing (annualised)
LayerAccounts€ / yrDefinition
TAM — total addressable1,500,000€2.88BAll target-country SMEs × €160/mo × 12
SAM — serviceable available300,000€576MSMEs with EU data-residency / Spanish-first need
SOM — serviceable obtainable (3 yr)6,000€11.5M~2% of SAM — realistic given a small sales motion

The Year-1 target of 450 accounts is <0.2% of SAM — credible, and the SOM gives a ceiling for the fundraising story without over-promising.

2. Strategic analysis worked out

Three lenses, in order: PESTEL (the macro environment), Porter's Five Forces (the industry), and SWOT (the firm). Each maps to Module 2, Session 4.

2.1 PESTEL — the macro environment

PESTEL scans forces the firm cannot control but must plan around. We mark each factor as a tailwind, headwind, or watch-item.

Table 3 · PESTEL scan for an EU AI-SaaS
FactorSignalImplication for Cuaderno
PoliticalEU "digital sovereignty" pushtailwind EU-hosted data is a selling point vs US tools
EconomicSME budgets tight; rates highheadwind must show fast ROI / payback < 1 yr
SocialNormalised remote/hybrid meetingstailwind structural demand for meeting tooling
TechnologicalFalling inference cost; open modelstailwind variable cost trends down → margin up
EnvironmentalCompute energy scrutinywatch efficiency claims, regional grid mix
LegalGDPR + EU AI Act (high-risk rules)tailwind compliance is a moat; barrier to entry (Session 21)

2.2 Porter's Five Forces — industry attractiveness

We rate each force 1 (weak / favourable) to 5 (strong / threatening). The mean force drives attractiveness: lower mean = more headroom for profit. This is the framework behind the five-forces demo.

Competitive rivalry
4 / 5 high
Threat of new entrants
3 / 5 med
Threat of substitutes
3 / 5 med
Buyer power
3 / 5 med
Supplier power
4 / 5 high

Mean force $= \dfrac{4+3+3+3+4}{5} = 3.4$ out of 5 — a moderately tough industry. The two pressure points are rivalry (crowded category) and supplier power (cloud + foundation-model providers can raise prices and even compete downstream). Strategic response: differentiate on EU-compliance/Spanish quality to soften rivalry, and keep models swappable (open-weights fallback) to blunt supplier power. Buyers have only medium power because seats are cheap relative to the value of recovered meeting time.

2.3 SWOT — internal vs external, synthesised

SWOT folds the PESTEL/Porter findings together with firm-specific facts. Strengths/Weaknesses are internal; Opportunities/Threats are external.

SStrengths
  • EU data residency + GDPR/AI-Act readiness by design
  • Best-in-class Spanish transcription quality
  • Lean team, 70% gross margin from day one
WWeaknesses
  • No brand vs Otter/Fireflies; small marketing budget
  • Dependent on third-party model + cloud providers
  • Single product line — concentration risk
OOpportunities
  • Incumbents weak on EU compliance & Spanish
  • Expansion revenue: CRM/ERP integrations, seats
  • Falling inference cost widens margin over time
TThreats
  • Platform owners bundle the feature for free (Teams/Zoom)
  • Foundation-model supplier raises prices or competes
  • SME budget freezes in a downturn

Strategic read (TOWS): match the strongest Strength to the biggest Opportunity — lead go-to-market with "EU-hosted, Spanish-first" against incumbents who are weak exactly there. Defend the key Threat (bundling) by going deep on compliance and workflow integration where a generic bundled feature cannot follow.

3. Business model & financials, step by step

Now the quantitative core: the Business Model Canvas to fix the model, then break-even and unit economics with worked numbers. Mirrors M2 S6 (canvas) and M4 S19 (finance) / M5 S23 (SaaS economics).

3.1 Business Model Canvas

Key partners
  • Cloud provider (EU regions)
  • Foundation-model vendor + open-weights fallback
  • CRM/ERP integration partners
Key activities
  • ASR/LLM pipeline
  • Compliance & security
  • Sales & success
Value propositions
  • Accurate Spanish + English minutes
  • EU data residency, GDPR/AI-Act ready
  • Recovers ~3 h/week of meeting admin
Customer relationships
  • Self-serve trial
  • Assisted onboarding
  • In-product expansion
Customer segments
  • EU SMEs (5–250 staff)
  • Spanish-speaking teams
  • Compliance-sensitive sectors
Key resources
  • ML/eng team
  • EU infra
  • Brand & data moat
Channels
  • Content/SEO
  • App marketplaces
  • Inside sales
Cost structure
  • Fixed €42k/mo (team, infra baseline, tools); Variable €6/seat (inference, transcription, payment fees) — see Table 1
Revenue streams
  • €20/seat/mo recurring subscription (Pro); annual prepay discount; future usage-based add-ons & enterprise tier

3.2 Contribution margin & break-even

Each seat sells for €20 and costs €6 to serve, so the unit contribution margin is €14 (a 70% margin). Fixed costs are €42,000/month. The break-even volume is the point where total contribution covers fixed cost:

$$Q^{*} = \frac{F}{p - v} = \frac{42{,}000}{20 - 6} = 3{,}000 \text{ seats / month}$$

At 8 seats per account that is 375 paying accounts to break even — €60,000 MRR. Our Year-1 target of 450 accounts (3,600 seats) clears it. This is exactly the curve in the break-even demo — drag $F$, $p$ and $v$ there to see how the break-even point moves.

Table 4 · Profit at three volume scenarios (monthly)
ScenarioAccountsSeatsRevenueVariableContributionFixedProfit
Break-even3753,000€60,000€18,000€42,000€42,000€0
Year-1 target4503,600€72,000€21,600€50,400€42,000€8,400
Year-2 plan1,2009,600€192,000€57,600€134,400€48,000€86,400

Note fixed cost rises modestly in Year 2 (to €48k as the team grows) while contribution scales with volume — the operating leverage that makes SaaS attractive.

3.3 Unit economics — CAC, LTV, payback

Subscriptions live or die on whether a customer is worth more than it costs to win. We work per account (8 seats → €160/mo, €112/mo contribution at the 70% margin). With 4% monthly churn the average customer lifetime is $1/0.04 = 25$ months.

$$\text{LTV} = \frac{\text{ARPA} \times \text{gross margin}}{\text{churn}} = \frac{160 \times 0.70}{0.04} = €2{,}800$$
Table 5 · Unit economics per paying account
MetricValueHow it is computed
ARPA (revenue/account/mo)€1608 seats × €20
Contribution/account/mo€112€160 × 70% margin
Avg. lifetime25 mo$1 / 0.04$ churn
LTV (gross-margin basis)€2,800€112 × 25
CAC€400Blended acquisition cost (Table 1)
LTV / CAC ratio7.0×€2,800 / €400
CAC payback~3.6 mo€400 / €112 contribution
Reading the unit economics

An LTV/CAC of 7.0× is well above the venture rule of thumb (> 3× healthy) and CAC payback under 4 months is excellent (< 12 months is the bar). The model is not just break-even-feasible — it is worth scaling, because every euro of CAC returns seven and is recovered in a quarter. That is the green light to spend on growth.

3.4 SaaS growth — does MRR compound?

MRR next month = this month's MRR surviving churn, plus new MRR: $MRR_{t+1} = MRR_t(1-c) + \text{new}$. With €60k MRR, 4% churn and €10k new MRR/month, the steady state where growth stalls is $\text{new}/c = 10{,}000 / 0.04 = €250{,}000$ MRR — the ceiling at the current spend. To grow past it we lift new-MRR or cut churn. Explore this in the SaaS growth demo.

4. Results & recommendation

Pull the strands together into a portfolio call and a one-page investor brief.

4.1 BCG / portfolio call

Cuaderno's product line, placed on the BCG growth-share matrix (BCG demo): the core notes product is a Question Mark today — high market growth, still-low relative share — and the strategy is to fund it hard to push it toward Star. The planned CRM/ERP integration add-on is a future bet (also a Question Mark). There is no Cash Cow yet, which is why outside funding is required.

Stars (high growth, high share)
  • — (target state for the core product in ~24 mo)
?Question Marks (high growth, low share)
  • Core notes product → invest to gain share
  • CRM/ERP integrations (new bet)
$Cash Cows (low growth, high share)
  • — (none yet; the gap fundraising closes)
Dogs (low growth, low share)
  • Avoid: generic free transcription utility

4.2 Recommendation

Go — invest to win share, fund the Question Mark

The business is structurally attractive on the numbers: 70% gross margin, break-even at 375 accounts (below the Year-1 target), LTV/CAC of 7× and <4-month payback. The binding constraint is share, not unit economics. Recommendation: raise a seed round to (1) double the sales motion behind the EU-compliance/Spanish wedge identified in SWOT, (2) ship the CRM/ERP integrations that defend against platform bundling, and (3) keep models swappable to blunt supplier power. Hold price at €20 — competing on differentiation, not discount, given monopolistic-competition dynamics.

4.3 One-page investor summary

Cuaderno — EU-hosted AI meeting notes for SMEs
Seed · pre-Series A · raising €1.2M

Problem. SME teams lose hours to meeting admin; US tools fail EU data-residency and Spanish-quality needs. Solution. Spanish-first, EU-hosted, GDPR/AI-Act-ready meeting notes that recover ~3 h/week per user. Why now. Falling inference cost + EU digital-sovereignty tailwind.

70%
gross margin
7.0×
LTV / CAC
3.6 mo
CAC payback
375
accounts to break even
€576M
SAM
€2.3M
Yr-2 ARR plan

Ask. €1.2M for 18 months of runway → 1,200 paying accounts, ~€2.3M ARR, and the integration moat that turns the core product into a Star.

5. How it maps to the course learning outcomes

Every step above exercises a stated learning objective and a specific session. Click a module pill to jump to the course outline.

Table 6 · Project step → learning outcome → session
Project stepCourse learning outcomeSession
Market structure (monopolistic competition)Understand the role of businesses in modern economiesM1 · S2
PESTEL · Five Forces · SWOTAssess internal/external environments with strategy toolsM2 · S4
Business Model CanvasAnalyze and design business models with modern frameworksM2 · S6
BCG portfolio callApply life-cycle & portfolio planning frameworksM2 · S8
Break-even & profitabilityProfitability metrics and break-even analysisM4 · S19
Unit economics (LTV/CAC), SaaS growthSaaS unit economics & the customer lifecycleM5 · S23
GDPR / AI-Act as a moatRecognize how AI & digital tech influence strategyM4 · S21
Investor summary & pitchApply concepts through a practical, defended projectM5 · S26

6. Extensions

Ways to push the project further — each ties to a later session or a demo.

7. References

Figures are illustrative base-case assumptions for a worked teaching example, not a forecast of a real company.