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New user activation diagnosis and optimization Focusing on a clear definition of activation (a new user completes a core behavior within N days after registration), perform data quality inspection, bottleneck location, time trend and group diagnosis, cause evidence grading and experimental design on standardized funnel data, and output an executable activation optimization decision brief. Suitable for businesses such as SaaS, App, e-commerce, content products, communities and API platforms. The final output is a complete Markdown diagnostic report, covering seven sections: data quality, funnel evidence, time diagnosis, group diagnosis, cause hypothesis, experimental design, and decision briefing. Upload data format (CSV): long table structure, columns = period, segment_type, segment_value, stage_order, stage_name, user_count - period: observation period (such as 2026-01 / 2026-W27) - segment_type: all or segmentation dimension (such as channel / platform) - segment_value: fill in all when all; fill in specific value when dividing into groups (such as official website / iOS) - stage_order: funnel step sequence number (starts from 1, must be monotonic) - stage_name: Funnel step name (such as completed registration / first effective behavior) - user_count: the number of users in this cycle-group-step Contains at least 2 periods; contains 1 row of segment_type=all, segment_value=all for the overall summary (allowed to be equal to the sum of each segment); if segment diagnosis is required, please add the corresponding row.

Enter a context description of a product/application/market/customer group, and deduce three mutually exclusive real user portraits based on the 6-field portrait system of "Meta Portrait Builder", and automatically generate a matching portrait poster.

Input a brand brief, based on Mizuno's taste methodology, sound symbolism, polarization test and ten-year compound interest framework, and output 3 differentiated brand name candidates, each including pronunciation, design intention, knowledge mapping, risk reminder and best application.

OPC Entrepreneurship AI Financing Consultant · Financing Diagnosis Workflow (v3.0.8). Enter entrepreneurial project information, automatically complete 8-dimensional financing diagnostic scoring, and output a complete diagnostic report including key risks/recommended investors/assessment conclusions/disclaimer suffixes; support the generation of investment banking reports that comply with HTML design specifications.

Convert subjective text data such as questionnaire responses, user interviews, and feedback texts in batches into insight reports with original text citations and topic clustering. It supports 15 preset scenario templates (product satisfaction, user churn, NPS reputation, employee satisfaction, etc.), automatically completes item-by-item structured extraction and cross-sample topic clustering, and outputs executive summaries, topic cluster analysis, dimensional insights and action suggestions. Suitable for product managers, user researchers, operations teams and HR.