Survey Response Descriptive Analysis & Excel Reporting
Pain Points (Public)
Organizations collect extensive customer or employee feedback across multi-choice and Likert-scale questions, but raw response exports often contain unformatted entries and fragmented variables. Decision-makers lack the time or spreadsheet proficiency to manually clean the dataset, aggregate response frequencies, and run cross-tabulations to identify baseline sentiment trends.
Suggested Approach (Public)
Standardize and sanitize raw questionnaire datasets, compute key descriptive statistics (frequencies, percentages, cross-tabs, and central tendency measures), and compile dynamic Excel workbooks equipped with automated PivotTables and distribution charts for clear stakeholder presentation.
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Opportunity assessment PRO
Development brief PRO
- Position as a lightweight automated Excel pipeline specifically targeted at Likert-scale scoring, unformatted multi-choice survey field splitting, and automated PivotTable generation rather than a generic SaaS.
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- Ingestion and cleaning module: Parse raw survey CSV/XLSX exports to split delimited multi-choice responses and standardize Likert-scale rating columns into numerical weights.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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