Product · Survey Analytics
Cross-tabs, segment filters, NPS / CSAT / CES dashboards, and exports analysts trust. Drill from any number to the responses behind it.
Cross-tabs · pick any two axes
From signal to decision
Inside analytics
Open-text responses auto-grouped into themes with sentiment, ranked by frequency, drillable to the underlying comments, without a single SQL query.
See it in your dataPillar capabilities · scroll →
Region × NPS bucket, plan × CSAT, channel × completion. The matrix populates with respondent percentages, significance markers, and a flagged lead signal.
Filter by channel, region, plan, date, score, demographic. Combine any of them. Save the combination as a named view your weekly review opens to.
Bars, KPIs, cells, themes. Every chart element is the link. No re-running queries, no separate report. The chart is the entry point.
CSV, Parquet, JSON, codebook. One row per response, one column per sub-field. Composite keys preserve study structure in R, Python, SPSS, Tableau.
Also in analytics
NPS trend, CSAT distribution, CES band, channel volume, completion rate, ready to customize.
Quarter-over-quarter views, manager comparisons, segment trajectories.
Significance markers, confidence intervals, cohort guardrails.
Email snapshots to stakeholders weekly, monthly, or after milestones.
Read-only URLs for leadership. Audit log of who opened what.
Drop dashboards into Notion, Confluence, internal wikis.
Who it's built for
Weekly NPS review with the C-suite. Every Monday at 9am.
Pre-built dashboard scheduled to inbox. Drill-down link reaches the specific responses behind the spike or dip.
Quarterly study, 14,000 respondents, 12 segments.
Cross-tab the full grid, export Parquet, codebook + raw text included. Ready for R or Python without cleanup.
Tracking response volume + completion rate across programs.
Saved view filtered to all active surveys. Multi-program overview surfaces issues before quotas slip.
See your data
The fastest way to evaluate Sinova360 Analytics is with your own data. We will walk you through it.