Pre-Mortem Insights
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The Pre-Mortem Insights model

A distinctive Narrative + Numbers model born from doctoral research.

One standardized framework connects founder narrative, measurable evidence, company documents, historical failure pathways, and human review. The research base is informed by 700 startup histories.
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Confidential. Human-reviewed. No failure score.

The method is standardized; the insight is bespoke.

Every startup is reviewed through the same core structure and six connected diagnostic areas. This gives programme and portfolio teams a consistent view while conclusions, priorities, and actions remain specific to each company.

Four evidence streams, connected by human review.

No single source decides the outcome. Reviewers examine where evidence agrees, conflicts, or remains incomplete.

Founder narrative

Strategy, assumptions, decisions, dependencies, concerns, and possible failure pathways.

Financial and operating evidence

Funding, runway, revenue, spending, acquisition activity, investor concentration, customer indicators, and performance direction.

Supporting documents

Company records that support, challenge, or leave uncertainty around the narrative and numbers.

Historical pathways

Relevant patterns drawn from 700 startup histories, including historically comparable businesses in the same or adjacent market, industry, or business-model context.

Six connected diagnostic areas

Business model and traction

Strategy, value proposition, revenue model, and milestones.

Product and technology

Solution–market fit, technical risk, and readiness.

Market and external conditions

Industry dynamics, competition, and external change.

Customer and commercial

Customer needs, go-to-market, retention, and sales motion.

Team, operations and governance

People, execution capability, controls, and decision rights.

Financial history

Funding, runway, unit economics, and performance context.

A dashboard, report, and action plan built for one startup.

Standardized analysis does not mean generic conclusions. Each output reflects the startup’s own narrative, financial history, documents, market context, and evidence quality.

Context for decisions—not a prediction.

Historical similarity does not mean two startups will follow the same outcome. Pre-Mortem Insights does not calculate a probability of failure, provide a guarantee, or replace professional advice. It identifies relevant pathways, evidence gaps, protective factors, and practical actions for human consideration.

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The method is standardized; the insight is bespoke.

Every startup is reviewed through the same core structure and six connected diagnostic areas. This gives programme and portfolio teams a consistent view while conclusions, priorities, and actions remain specific to each company.

Join the free pilotHow It Works
Pre-Mortem Insights

Human-reviewed diagnostic intelligence for software startups, born from ongoing doctoral research and informed by 700 startup histories.

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The free founder pilot and programme enquiries are open.

© 2026 Pre-Mortem Insights. Additional decision support—not a prediction, failure score, or substitute for professional advice.