Tabular Pro vs Delighted

Delighted is a self-serve NPS and CSAT tool owned by Qualtrics. Tabular Pro covers the full research workflow including NPS. An honest comparison.

Delighted is a narrow-by-design product: NPS, CSAT, CES, 5-star, and Smileys surveys, deployed via email/SMS/web. It's owned by Qualtrics now. If all you need is a continuous NPS pulse with sensible defaults, Delighted is fine — and we don't really compete for that user.

If you need more than NPS — actual market research, qualitative work, weighting, cross-tabs — Tabular Pro is the broader option. NPS is included.

What Delighted is genuinely good at

  • Self-serve NPS deployment. Set up an NPS program in 10 minutes, no consulting required.
  • Email, SMS, link, and embed delivery. Reaches respondents wherever.
  • Simple dashboards. Trend lines, segment cuts, alert rules.
  • Integrations. Slack alerts when scores drop, CRM updates on response.

Where Tabular Pro is the better fit

  • Anything beyond NPS. Delighted is by design narrow — they decided long ago to do one thing well. If you need conjoint, MaxDiff, brand tracking, ad testing, or general questionnaires, Delighted is not the tool.
  • Cross-tabs and weighting. Delighted is a feedback tool; it doesn't run market research analysis.
  • Qualitative. Not in Delighted.
  • AI open-end coding. Delighted has basic theming on verbatims; Tabular Pro runs a full researcher-grade workflow.
  • Free for education. Delighted has no academic program.

Feature comparison

Tabular Pro Delighted
NPS / CSAT / CES ✓ ✓ flagship
General-purpose surveys ✓ ✗
Cross-tabs with sig testing ✓ ✗
Survey weighting ✓ ✗
Conjoint / MaxDiff ✓ ✗
Qualitative module ✓ ✗
Free for education ✓ ✗

When to pick Delighted instead

  • You only need NPS/CSAT and you want it set up in 10 minutes.
  • Your stakeholders care about a simple weekly score, not deep analysis.
  • You're already on a Qualtrics enterprise contract and Delighted is included.

When to pick Tabular Pro

  • You need more than NPS — conjoint, MaxDiff, ad testing, brand tracking, mixed methods.
  • You weight your data.
  • You do qualitative research.
  • You're at an academic institution.
  • You want NPS as one tool in a broader research platform, not the entire platform.

Compare side-by-side: Create a free workspace · NPS vs CSAT · Market Research Platform