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ThaisightAI

The CX platform for Thai customer understanding

From surveys to the reasons behind the scores.
Give your team a clear place to act.

“How was your experience today?”

Survey + branch context

More than a form.
The right follow-up question.

Smart Survey Builder adapts the journey to each answer.
A low rating becomes a chance to understand what went wrong.

Start with what you need to know

Design the questionSet the follow-up logicShare with customers

Interactive example. Answers are not stored or sent.

Post-purchase experienceBranch A

How was your
experience today?

Needs improvementExcellent
Rating 2 → Ask a follow-up question
10+ question formats

Skip Logic · Display Logic · Carry-Forward · Theme & Preview

Praise and a problem.
In the same sentence.

Thai-context AI considers sentiment alongside context.
Important issues should not disappear inside an average.

Lovely service,
but the checkout wait was long.
What workedService
What needs attentionCheckout waiting time

Prepared illustrative outputs, not live AI inference. Actual findings require human review.

Beyond “What’s the score?”
See where to act.

A three-branch retail example: connect scores to feedback
so your team can compare locations and prioritize investigation.

Checkout experience

Responses
72
CSAT
73.6%
NPS
+30.6
Wait mentions
23

Start with Branch A

12 of its 24 responses mention waiting.
Review the comments, then investigate peak-time queues.

See the follow-up

72 synthetic responses, not customer results. CSAT = % rating 4–5. NPS = % rating 9–10 minus % rating 0–6.

Actual ThaisightAI widgets: CSAT, NPS, satisfaction and branch ranking using demonstration data
Actual ThaisightAI widgets · rendered with synthetic data in an isolated environment

Every issue.
A person to follow through.

Connect feedback to a case owner.
Track status and SLA through the next review cycle.

CX-DEMO-001Awaiting review

Review checkout queues
at Branch A

  1. Identified
  2. In review
  3. Reviewed

Demo case. Changes stay on this page.

Start with surveys.
Expand your customer listening.

Start with survey collection

Links and QR at service touchpoints · branch context
Save & Resume · response quotas

Extend through scoped integrations

Voice calls · social comments · reviews
POS · CRM · data warehouse

Additional integrations require source, access and scope assessment with IT, not a ready-made connector for every system.

Question formats & advanced logic

Single Choice, Multiple Choice, NPS, CSAT/CES/Rating, Matrix Table, Slider, Rank Order, Text Entry, Text Area, Date Picker and Info Block. Skip Logic, Display Logic and Carry-Forward shape the next question from the previous answer. Apply a theme and preview before publishing.

Dashboard views & the evidence behind them

Track NPS, CSAT and trends, rank branches, build Crosstab/Pivot views and explore relationships through Scatter, Bubble and Key Drivers without assuming causation. Review comments and cases alongside the scores.

What does Thai-context AI analyze?

Feedback is considered alongside the question and business context. Keyword rules and semantic analysis support Sentiment, Urgency, Department, Category and Topics. Confidence is a model signal, not guaranteed accuracy. People review the findings and make decisions.

Can we bring in more than surveys?

Start with surveys. Voice calls, social comments, reviews and POS/CRM/data warehouse connections are scoped by project. Data formats, access rights and deployment boundaries are assessed with your IT team.

How do we start with your team?

Choose a customer touchpoint and a business question, define KPIs and data boundaries, then design the survey and dashboard. Validate with CX and IT before expanding. Pricing follows the agreed project scope.

Dashboard of actual widgets with synthetic inputs

Synthetic data, not customer results

TEAM RECOGNITION

Corporate-Selected AwardCentral Retail · The Reverse Pitching Journey 2025–2026
First runner-up · OpenAI Hackathon 2026US$7,500 in API credits
LET’S TALKSTART WITH YOUR CHALLENGE

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for your use case.

Tell us about your organization, what you want to improve and the solution you are interested in.

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