prescription
This problem can be solved in depth by Atypica's long inference mechanism:
- Use the Precision Questioning Template: Select the professional question templates provided by the system (e.g. competitor analysis framework, market segmentation model) when creating the project to ensure the analysis dimension is comprehensive.
- Turn on long reasoning mode: The AI will perform 10-20 minutes of deep data mining and logical extrapolation, including
- Industry data crawling (e.g., statistical bulletin data)
- Consumer Behavior Modeling
- Application of specialized analysis methods such as SWOT cross-tabulation analysis
- Iterative optimization mechanism: Use the editing function after the report has been generated to trigger secondary reasoning by the AI by adding refinement commands (e.g., requesting additional Porter's Five Forces analysis).
- visualization enhancement: Convert key data into dynamic charts on the Analytics page, presenting in-depth insights through multi-dimensional filtering (time/geography/population).
Typical case: an FMCG brand obtained an in-depth report containing 3 levels of consumer segments by inputting precise questions (category penetration rate of healthy snacks in the East China market + purchasing drivers), and the marketing conversion rate increased by 27%.
This answer comes from the articleAtypica: generating beautiful business research through long reasoningThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of lack of depth in business research reports and enhance the reference value for decision-making?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil