These awesome customers trusted us as their feedback partners
Are these things bothering you as well?
Managing customer feedback from all these channels - chatbots, support tickets, app-reviews, emails, surveys and social media.
You or your team is spending weeks tagging and analyzing this data manually.
Struggling to understand top reasons of customer complaints, opinions, and issues
Your product team is chasing you for faster insights.
Your support team is receiving tickets about the same issue repeatedly.
If yes, then let us help you.
How it works?
- 1. Upload Data
First, you upload all your data
- 2. Train Data
Train the SurveySensum machine by tagging comments for a sample of data.
- 3. Automated Tagging
Later, the machine automatically predicts - eliminating the manual tagging process!
- 4. Report
At last, you can share reports with the product team.
1. Upload Data
2. Train Data
3. Automated Tagging
Who is this product designed for?
Gather all unstructured data in one place and extract reasons for top customer complaints.
Identify the latest insights you need to prioritize the product roadmap
Listen to what our wonderful customers saying about us!
“SurveySensum Text & Sentiment analysis software quickly figures top complaints from our app reviews, live chat, and even social media. These complaints are immediately delivered to the product team for them to act faster and keep our customers happy.”
“The biggest challenge we had was, we were unable to identify the major reasons behind our support tickets in time. And when we did, it was too late! SurveySensum’s Text Analytics Software helped us identify the top emerging customer complaints instantly. With the real-time data on the tips, we quickly took the required actions, which reduced our support tickets volume on similar issues by 25%.”
“The feedback we collected from our partners and users helped us improve our products and services, It also helps us with idea, concepts and assumption validation based on fact. On top of that, Surveysensum customer support was excellent!”