InsightBatch · User Insight Batch Analysis

What to prepare

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.

Original answer/recordRequired

Fill in each line with an answer to a subjective question in the questionnaire or a summary of the interview record

scene templateRequired

Select the matching scenario and automatically load the corresponding analysis frameworkOptions：S01-Product Satisfaction Survey / S02-User churn interview / S03-Bug feedback collection / S04-NPS word-of-mouth survey / S05-Gamer Experience / S06-Medical service experience / S07-Course Satisfaction / S08-Project Research Analysis / S09-Post-purchase satisfaction analysis / S10-New product concept test / S11-Employee satisfaction / S12-Exit interview analysis / S13-Social survey analysis / S14-User Interview UX Research / S15-custom frame

core analytical questionsRequired

For example: Why do users lose? Which features are you least satisfied with?

Analysis DimensionsRequired

Separate multiple dimensions with semicolons, such as: functional satisfaction; price sensitivity; service experience

Supplementary requirementsOptional

Optional to supplement special analysis needs

Generation instructions

Each row is submitted as a separate task. Required fields are marked with *.

• Fill in one questionnaire answer or interview record (subjective text) per line
• Select the most matching scene template and the system automatically loads the analysis framework
• Core analysis questions and analysis dimensions can be modified on a pre-populated basis
• Supports up to 500 rows of data