hv-analysis

Horizontal-vertical analysis is a dual-axis research framework that structures systematic evaluation across product, technology, market, user, competition, and financial dimensions. It provides a comprehensive method to interpret multiple data points for strategic planning or investment decisions.

You can conduct a systematic company analysis by applying a six-dimensional framework that evaluates product, technology, market, user, competition, and financial aspects. This structured approach requires interpreting data across these intersecting domains to form a comprehensive research output.

Yes, the horizontal-vertical analysis framework is explicitly applicable to technology and concept research. It adapts to evaluate various subjects including products, companies, concepts, technologies, or individuals by structuring the research across six core analytical dimensions.

The best way to structure competitive analysis is to use a dual-axis approach that separates broad horizontal market dynamics from deep vertical product and technology evaluations. This framework ensures all research dimensions are systematically covered and interpreted.

Yes, performing systematic research with this framework requires structured data analysis. The method depends on interpreting multiple dimensions accurately, meaning your research inputs for product, market, and financial aspects must be organized to yield valid strategic insights.