Валидиране на предприемачески идеи с технологията AI
Validating Entrepreneurial Ideas with AI Technology

Author(s): Nikolay Vankov
Subject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: artificial intelligence; idea validation; MVP; market experiments; digital entrepreneurship
Summary/Abstract: The paper examines the use of Artificial Intelligence (AI) as an accelerator for faster, cheaper, and more reproducible entrepreneurial idea validation in pre‑startup and early startup stages. We propose an integrated framework that links classical validation stages-Problem-Solution Fit (PSF), Product-Market Fit (PMF), and business model fit-with the desirability-feasibility-viability triad and AI capabilities for hypothesis generation, market signal extraction, experiment design and analysis, as well as demand and financial scenario forecasting. Methodologically, we introduce an AI‑supported four‑step validation funnel: hypotheses and segmentation (JTBD, leap‑of‑faith assumptions); market signal extraction (topic modeling, sentiment analysis); rapid experiments (landing pages, fake‑door tests, A/B testing); financial and operational validation (CAC, LTV/CAC, payback, scenarios). Using three applied cases (natural cosmetics, children’s party center, and an EdTech micro‑credential offer), we demonstrate key KPIs (CTR, CVR, NPS, CAC, LTV/CAC), decision thresholds (go/kill/pivot), and practices to reduce false positives. Finally, we propose governance mechanisms via human‑in‑the‑loop, traceability protocols (data prompts-versionsmetrics), and a practical checklist for responsible AI‑assisted idea validation.

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