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“Lovely service” ≠ “Everything was great”
Separate sentiment and topicsSee each branch’s scores and the reasons behind them
NPS · CSAT · CommentsFrom an identified issue to a responsible person
Case owner · Status · SLAMore 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
Interactive example. Answers are not stored or sent.
How was your
experience today?
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.
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.
72 synthetic responses, not customer results. CSAT = % rating 4–5. NPS = % rating 9–10 minus % rating 0–6.

Every issue.
A person to follow through.
Connect feedback to a case owner.
Track status and SLA through the next review cycle.
Review checkout queues
at Branch A
- Identified
- In review
- 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.
TEAM RECOGNITION
See ThaisightAI
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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