Upload structured survey responses to create question-level charts, rating distributions, segment comparisons, Likert analysis, and downloadable reports.
VizMint helps teams move from raw survey rows to clear visual evidence while preserving the difference between missing responses, rating scales, multiple-choice answers, and respondent segments.
Supports structured .csv and .xlsx files. Public examples use synthetic data. Review VizMint’s current privacy and retention policy before uploading sensitive information.
Use the fixed preview below to switch between the source spreadsheet and a dashboard sample. Open the full demo in a new tab for every KPI and chart.
Survey Data Visualization
Interactive preview from the sample survey response dataset
Switch preview
Total Records
48
rows in sample
Total Responses
6,864
sum of Responses
Total Satisfaction %
3,807
sum of Satisfaction %
Grouped by Date
Full dashboard with all KPI details and 6 charts is on the demo page.
Open full demoThe sample contains 48 responses across 4 segments and 4 question types. Charts and KPI cards are generated from the same JSON dataset.
Sample totals: 0.0 average rating, 0 NPS, and 0% completion — with response counts displayed beside every percentage in the generated output.
Convert survey responses into question-level distributions and segment comparisons without treating missing answers as negative responses.
Survey exports often mix question types, respondent attributes, and missing answers in one spreadsheet. Reliable analysis makes the aggregation level explicit so ratings, multiple-choice counts, Likert scales, and segments are not confused.
The sample includes 48 responses with rating, multiple-choice, Likert, and 0–10 recommendation questions, with response counts displayed beside every percentage.
The workflow is designed around question-type-aware charts, missing-response handling, and source-level evidence for every percentage.
Survey exports often mix question types, respondent attributes, and missing answers in one wide spreadsheet. A dedicated survey workflow detects supported question formats and creates appropriate charts instead of forcing every question into the same visualization.
Use the report to compare ratings, Likert responses, multiple-choice distributions, segments, and response trends.
Follow the same dataset from source rows to the generated dashboard preview. The spreadsheet table, KPI cards, and charts all come from one JSON sample, so every visible result can be checked against the source.
The source preview highlights the exact columns and representative rows used in the analysis.
| Date | Quarter | Respondent Segment | Region | Responses |
|---|---|---|---|---|
| 2025-07-01 | Q3 2025 | Customers | North America | 92 |
| 2025-07-01 | Q3 2025 | Employees | Europe | 103 |
| 2025-07-01 | Q3 2025 | Partners | APAC | 114 |
| 2025-07-01 | Q3 2025 | Prospects | Middle East & Africa | 125 |
| 2025-08-01 | Q3 2025 | Customers | Europe | 104 |
The finished example is generated from the sample dataset rather than an unrelated mockup or stock image.
Grouped by Date
VizMint works best when every column has one clear heading and each row represents one consistent record.
| Column | Requirement | Example | Purpose |
|---|---|---|---|
| Response ID | Recommended | R-1001 | Identifies unique responses |
| Response Date | Recommended | 2026-06-12 | Creates response trends |
| Question or Question Code | Required for long format | Q1 | Identifies the question |
| Answer | Required for long format | Satisfied | Stores the response |
| Rating Score | Conditional | 4 | Supports numeric rating analysis |
| Respondent Segment | Optional | Customer | Creates segment comparison |
| Department | Optional | Support | Creates internal group comparison |
| Region | Optional | Europe | Creates geographic comparison |
| Completed Status | Optional | Complete | Supports completion-rate analysis |
| Weight | Optional | 1.2 | Supports weighted analysis when implemented |
Number of unique submitted responses.
Completed responses divided by started responses, when status exists.
Average numeric score for a supported question.
Share of answers classified as favourable under a documented rule.
Average score for a selected respondent group.
Promoter percentage minus detractor percentage for a valid 0–10 question.
Number of unanswered or unavailable responses.
Share of respondents answering a question.
| Chart or Output | Required Fields | Business Question |
|---|---|---|
| Multiple-Choice Bar Chart | Question, answer | Which answer options are most common? |
| Likert Stacked Chart | Question, ordered response | How are agreement levels distributed? |
| Rating Distribution | Numeric rating | How are scores spread? |
| Segment Comparison | Segment, question, score | How do groups differ? |
| Cross-Tab Heatmap | Two categorical variables | Which combinations occur most often? |
| Response Trend | Response date, count or score | How are responses changing over time? |
Use clear headers, one record per row, consistent dates, and numeric values stored as numbers.
Select the CSV or Excel file using the page’s upload control.
For multi-sheet workbooks, choose the sheet containing the relevant data table.
Review the detected fields and map any column VizMint could not identify confidently.
Check dates, numbers, categories, missing values, and record counts before generation.
Create the supported dashboard, report, presentation, chart, or answer.
Review calculations and limitations, then save, share, or export using the options available in the active plan.
| Metric | Formula or Method | Required Fields | Important Rule |
|---|---|---|---|
| Average Rating | Sum of valid scores ÷ valid response count | Numeric rating | Missing responses are excluded, not treated as zero. |
| Favourable Response Rate | Favourable responses ÷ valid responses × 100 | Ordered response and favourable rule | The favourable threshold must be documented. |
| NPS | % promoters − % detractors | 0–10 recommendation score | Promoters = 9–10, passives = 7–8, detractors = 0–6. |
| Completion Rate | Completed responses ÷ started responses × 100 | Completion status | Unavailable when survey-start information is missing. |
| Problem | Recommended Fix |
|---|---|
| Question columns have long or duplicate names | Use short unique question codes with a question map. |
| Likert scales are ordered inconsistently | Normalize response order before charting. |
| Blank responses are converted to zero | Keep missing values separate. |
| Multi-select answers are stored in one cell | Use a consistent separator or expanded format. |
| Segment groups are too small | Suppress or combine groups according to privacy rules. |
| Different scales are compared directly | Normalize or keep them separate. |
Available options depend on the live VizMint plan. The final page should list only verified capabilities, such as saving the analysis, downloading chart images, exporting PDF or PowerPoint files, creating a shareable link, refreshing with updated data, or removing branding on eligible plans.
Do not publish a plan comparison until product and billing owners confirm every feature.
VizMint analyzes exports; it does not replace the accounting, CRM, help-desk, HR, warehouse, advertising, or project-management system that produced them.
Upload a structured CSV or Excel file, review the detected fields, and generate the workflow-specific output described on this page.