Startup due diligence
activity map
The Startup Mentor™ covers roughly 75% of the scope of a professional services due diligence — all the desk-based analytical work: reading the deck, researching the market, assessing the team, building the evidence picture, writing the report. The remaining 25% is fieldwork: calling customers, calling references, engaging IP counsel. However, fieldwork is often not included in startup due diligence professional services engagements — the activity map below makes that visible. And if you do need fieldwork, the assessment helps you determine exactly where — and define a more targeted (and hence cheaper) engagement with a professional services firm. Either way you save.
■ Amber text = fieldwork that requires a human on a phone. These are the activities that The Startup Mentor™ cannot do — and that are often not included in professional services engagements either.
■ Green text in the Source Documents column = proprietary materials you provide. Grey text = publicly available sources.
Intake
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Materials review | Read pitch deck, website, financials, all supporting documents. Set up research environment. Note gaps and questions. | Reads all submitted materials. Crawls website. Web searches on company, founder LinkedIn profiles, company registry, and press coverage. Flags what is present and what is missing across all 16 dimensions. | Pitch deck · Website · Financial model · All submitted docs · Web: LinkedIn, registry, press |
Customer and market
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Customer segment | Validate target segment at stated scale. Industry databases, analyst reports, TAM/SAM/SOM cross-check. | Scores segment specificity from pitch deck and customer data. Cross-checks TAM/SAM/SOM against financial model assumptions and publicly available market reports. Flags unsubstantiated or contradicted market sizing. | Pitch deck · Customer interview notes · CRM / pipeline · Financial model · Web: market reports |
| Problem validation | Independent evidence of pain: industry reports, regulatory filings, published research, customer quotes in press. | Assesses pain evidence from pitch deck, customer interview notes, and support ticket data. Grades evidence quality on a five-level scale. Customer quotes weighted higher than founder claims. | Pitch deck · Customer interviews · Support tickets · Surveys · Web: regulatory, press |
| Willingness to pay | Pricing benchmarking. Primary WTP research with target customers. Switching cost analysis. | Grades WTP from signed contracts, LOIs, pipeline conversion data, and pricing docs. Distinguishes stated interest (E2), signed intent (E4), and revenue (E5). Does not conduct primary WTP research. | Contracts / invoices · LOIs / pilots · Pipeline data · Pricing docs · Churn data · Web: comparable pricing |
| Market timing | Regulatory tailwind research. Technology readiness assessment. Competitive activity as timing signal. | Assesses timing from pitch deck and regulatory approvals. Web searches on regulatory changes, technology readiness, and competitor activity. | Pitch deck · Regulatory approvals · Web: regulatory databases |
Competitive and strategic position
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Competitive advantage | Full competitive landscape: direct, indirect, substitutes. Feature matrix. Customer review mining. | Assesses differentiation from pitch deck and competitive analysis docs. Win/loss analysis provides the strongest evidence. Applies 500+ failure patterns. | Pitch deck · Battle cards · Win/loss analysis · Customer quotes · Web: competitor sites, reviews |
| Vision | Market size at vision-stage scale. Adjacency analysis. Coherence between current product and stated vision. | Assesses vision from pitch deck and product roadmap. Tests coherence between stated vision, current product, and milestone sequencing. | Pitch deck · Product roadmap · Adjacent market analysis · Web: market data |
| Strategy | Go-to-market channel analysis. Wedge market logic. Beachhead to expansion path. | Scores strategy from pitch deck and pipeline data. Pipeline reveals actual channel performance vs stated strategy. Flags strategic gaps explicitly. | Pitch deck · Pipeline data · Partnership agreements · Web: GTM benchmarks |
| Moat | Patent search. Network effect assessment. Switching cost modelling. Data accumulation analysis. | Assesses from pitch deck, patent filings, proprietary dataset docs, and retention data. Runs Google Patents search. Does not conduct professional patent landscape analysis. | Patent filings / IP docs · Dataset docs · Retention data · Referral data · Web: Google Patents |
Commercial model
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Revenue model | Unit economics modelling (CAC, LTV, payback). Revenue model benchmarking. | Scores revenue model from financial model and pricing docs. Extracts unit economics from assumptions tab. Flags unsupported assumptions. Cross-checks against publicly available comparables. | Financial model · Pricing docs · Pipeline data · Scenario model · Web: comparable pricing |
| Customer acquisition | GTM channel research. CAC benchmarking. Sales cycle length. Distribution partnerships. | Assesses from pipeline data and partnership agreements. Conversion rates reveal actual channel performance. CAC calculated from financial model if available. | Pipeline data · Partnership agreements · Financial model · Web: channel benchmarks |
| Flywheel | Network effect and compounding mechanism analysis. | Identifies flywheel from pitch deck and network effect data. Referral rates, viral coefficients, and organic CAC trends provide direct evidence. | Pitch deck · Network / referral data · Retention data |
| Optionality | Adjacent market research. Platform potential. Geographic expansion feasibility. | Assesses from pitch deck, product roadmap, and adjacent market analysis. Scores whether options are structural or speculative. | Pitch deck · Product roadmap · Adjacent market analysis · Web: market sizes |
Team and founder
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Founder background | Full background check. Reference network mapping. Reference calls. | Assesses founder-market fit from CV, LinkedIn, prior exits, and pitch deck bio. Applies 22 founder archetype model. Does not conduct reference calls. | Founder CV / LinkedIn · Prior exit docs · Pitch deck · Advisor agreements · Web: publications, press |
| Team | Full team background check. Credentials verification. Skills gap analysis. | Scores team from CVs, pitch deck, and org chart. Identifies capability gaps against the 16-dimension framework. Does not verify credentials independently. | Team CVs · Org chart · Co-founder agreement · Advisor agreements · Web: LinkedIn |
Risk and capital
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Risk identification | Full risk register: technology, regulatory, market, execution, key-person, dependency. | Identifies risks from all submitted materials. Scenario analysis reveals fragile assumptions. Churn data surfaces retention risk. Co-founder agreement absence flagged. | Pitch deck · Scenario model · Churn data · Co-founder agreement · Web: regulatory, market |
| Capital strategy | Financial model review. Runway/burn analysis. Cap table review. Dilution modelling. | Assesses from financial model, cap table, use-of-funds, and term sheets. Calculates runway. Validates prior rounds against registry filings. Flags milestone-funding misalignment. | Financial model · Cap table · Use-of-funds · Term sheets · Web: registry, Crunchbase |
Valuation
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Multi-method valuation | Berkus, Scorecard, Risk Factor Summation, First Chicago, Comparable Co. DCF where applicable. | Runs seven methods from scored dimension data. Higher evidence levels produce tighter ranges. Financial model projections feed scenario-based methods. | All dimension scores · Financial model · Cap table · Web: comparable rounds |
Output and reporting
| Activity | Advisory Firm | The Startup Mentor™ | Source Documents |
| Report drafting | Structure findings. Write narrative. Build evidence tables. Draft recommendations. | Generates full structured report automatically. Narrative, evidence tables, Value Growth Map, valuation range, uplift paths. Each dimension references specific source documents. | All submitted materials · All web research |
| Review and QA | Internal consistency check. Fact-check key claims. Senior analyst review. | Automated cross-validation across all 16 dimensions. Flags contradictions between documents — e.g., revenue in pitch deck vs financial model vs pipeline data. | Cross-reference all documents |
Where each adds most value
| Question | Advisory Firm | The Startup Mentor™ |
| Does the technology actually work? | Interviews experts, reviews lab data, commissions technical review. Irreplaceable. | Assesses claims from submitted materials. Grades evidence. Flags if no independent validation exists. |
| Will this customer pay at this price? | Calls customers directly. Runs primary WTP research. Irreplaceable. | Grades from signed contracts (E5), LOIs (E4), pipeline (E3–E4), interview notes (E3). Does not call customers. |
| Is the IP clean and defensible? | Engages IP counsel. Professional patent landscape. Irreplaceable for a clean opinion. | Google Patents search plus submitted filings. Flags dependency risks. Not a legal opinion. |
| What do former colleagues say? | Reference calls, background checks, network triangulation. Irreplaceable. | LinkedIn, published record, press, prior exits. 22 founder archetype model from hundreds of founders. |
| Is the framework consistent? | Depends on the individual analyst. Sector specialists may apply thinner coverage outside their domain. | All 16 dimensions assessed every time. No dimension skipped. |
| Are claims distinguished from evidence? | Varies. Most reports state conclusions without explicit confidence levels. | Every dimension graded E1–E5. Each score references specific source documents. |
| Which dimensions need further investigation? | Analyst identifies gaps — embedded in the same engagement. | Primary output. Every E1–E2 dimension is an explicit flag telling you where to spend the advisory hours. |
The sharpest way to use both: The Startup Mentor™ maps all 16 dimensions from the company's own materials and tells you exactly which dimensions have validated evidence and which rest on assumptions. The advisory engagement then lands its hours on the dimensions that matter most — rather than spending time on framework application and report structure.
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