User Frustrations with 세브란스 App
  • 82 users bookmarked
  • Sources App Store Reviews
  • Size Up to latest 500 reviews (Customizable)
Unlock Insights: My세브란스 App Feedback Report

User Frustrations with 세브란스 App

Users express frustration with the 세브란스 app, citing issues with appointment booking, error messages, slow loading, and login problems. They also encounter difficulties with features such as blood pressure and weight tracking. The app's performance is deemed subpar for a top-tier hospital.

Best for
  • Mobile App Developers
  • Product Managers
  • User Experience Designers
  • Customer Service Managers
  • Healthcare Administrators

Starting from $12, you can purchase this report to access from your inbox and Kimola account.

Purchased users
16 users purchased a report
in the last 24 hours.
One-time purchase without hidden or recurring costs!

Here you can see the preview of this report containing the analysis of only 30 latest reviews.

Custom Date - Mar 03, 2024

Featured Content

  • 아.. 로그인이 안되면 뭘하죠

    카톡 로그인 누르면 무한 로딩 후 튕깁니다

    • Negative
    • Loading Error
    Apr 04, 2023
  • 업데이트

    업데이트하고 앱버전체크가 안된다고 계속 실행이안되네요ㅠ

    • None
    • App Version Check Issue
    Feb 24, 2023
  • 차량번호관리 오류

    아이폰 기종을 사용중인데
    차량번호관리를 들어가거나 차량등록 버튼을 누르면
    계속 로딩이 뜨면서 500 interver server error 라는 메시지가 뜹니다

    • Negative
    • Performance and Speed
    Nov 23, 2022
  • 진심 궁금합니다

    진료예약 누르면 달력뜨고 증상까지 적으라고 한후 요청누르면 고객센터로 전화하라고 뜨는데 장난하시는건가요 이럴 거면 예약기능을 만들어 놓지 마시지요

    • Negative
    • Reservation System Error
    Jan 04, 2022
  • 진료예약 변경

    진료예약 변경 서비스 이용하고 싶은데
    날짜 선택도 안되고 아무것도 되지 않아서
    이용 할 수가 없습니다
    사용가능하도록 수정 부탁드립니다.

    • Negative
    • Reservation System Error
    Nov 03, 2021
  • 좋네요

    진료카드도 앱에 들어가있고 그동안 검사받았던 결과들 까지 볼 수 있어서 좋아요
    진료 예약일 확인이나 예약 변경,취소도 어플로 할 수 있어서 편리합니다!!

    • Positive
    • User Interface Feedback
    Aug 31, 2021
  • See All Reviews

Sentiment Analysis

-50 Net Promoter

Popular Topics


Similar Reports
  1. Google Play Reviews 100
  2. Google Play Reviews 70
  3. App Store Reviews 73
Frequently Asked Questions
  • This page is a research report based on the analysis of online reviews collected from App Store. It contains the top 30 recent reviews with their sentiment analysis, content classifications and trend graph to display the change over time. You can search in reviews and filter results based on sentiment and content classifications. Also, all the reviews and analyses are available to download as an Excel file.

  • Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media. Also, you can download this report in Excel file format with all the reviews and analyses.

  • Yes, you can, and this is the fun part about Kimola! Kimola offers a variety of free research tools that turn online customer feedback into comprehensive research reports. You can use these tools for different platforms like Amazon, Trustpilot, Tripadvisor, Google Play, and App Store to create your own research reports.

  • Yes, you can have this research report with more reviews analyzed. The page you are viewing is limited to the analysis of 30 recent reviews. Starting from $12, you can buy the complete version of this research report containing all reviews. Click here you can see the options.

  • Besides free research tools, Kimola also offers software products to collect, analyze and classify customer feedback. Kimola Analytics automatically tracks customer feedback on social media channels, e-commerce sites and articles from news portals. If you already use a tool to collect customer feedback, you can try Kimola Cognitive to upload your existing data for text analysis with sentiment and content classification.

Legal Disclaimer

We would like to clarify that this product is not created by App Store and is not associated with or supported by App Store in any way.

As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to App Store's terms of use, including copyright regulations, when utilizing the extracted review data.