JUMP (Jibunu Unified Management Platform)

JUMP (Jibunu Unified Management Platform) is our reporting platform where you will have access to all the tools available for each project. Below we have included some information about JUMP and the different tools.

What is JUMP?

JUMP is a platform that allows for Research and Project Managers to have greater control and visibility over their projects.  In JUMP, every individual has their own username and password, which offers tighter security and access controls. For information on access options for your team members, vendors, and client, check out our article on JUMP Access.

How do you get to JUMP?

For the initial project that you are added to, you will receive an email inviting you to setup your account and password. Once you have an account setup you will then receive an email notifying you for each project that you are added to. You can also go to https://apps.jibunu.com/jump/index.html#/ and click “forgot password” on the login page, to reset your credentials or create a new account.

 

What tools are on JUMP?

In addition to being able to view reports, pull data, and adjust quotas, you will also be able to view project details and view and clear respondent data for test IDs or bad data. You will be able to view your live links and test links, who has access to the project, project notes, and details such as sample providers, data quality.

  • Project Details – this tool includes live and test links, who has access to the project, project notes, and details such as sample providers, data quality, and overlay information.
  • Report Viewer– this tool allows you to see the different reports available to you. These include:
    • Simple Counter – contains a count grid of completes, terminates, and incompletes, as well as complete counts of any other responses requested to track, such as gender or quota variables.
    • Vendor Report – includes the respondent IDs and their terminate locations as well as the start and end times. This report can be exported to an XLS file and is a great for providing sample providers with the final complete IDs.
    • Respondent Progress Report – includes terminates, completes, abandons, or a mix of these depending on how you filter the results, for all or specific questions in the survey. If desired, it can also be narrowed down to respondent IDs. If filtered by abandons you can see where respondents dropped off in the survey.
    • Topline Report – includes each question in the survey and the counts for these. If there is complex programming on the survey this is sometimes not available for certain questions.
    • Qualified Abandon Report– this report is similar to the respondent progress report. If you filter by abandons, this report allows you to see the last question that was seen by respondents and the respondent IDs for that question.
  • Respondent Manager– this tool will allow you to search and view IDs to see who has terminated, completed, or OQ’d and on what question they terminated or OQ’d. You can also clear or reinstate IDS in this tool. Only our team and users you authorize will have access to clear and reinstate IDs, and we keep a history of all transactions in the Respondent Manager and who the action was performed by.
  • Quota Editor– this tool allows you to view and adjust any of the quotas for the study. You can collapse or expand grids and move the grids around the page to see them side by side.
  • Data Files – this tool allows you to pull data files. You can filter any report by language, date/time range and by completes/terminates/abandons. We offer data exports in the following formats: CSV, Excel, SPSS and ASCII.
    • CSV (Comma-separated Values File): Plain text data separated by commas. This file type can be viewed in excel if needed.
    • CSV Verbatim: Open-End responses as plain text data separated by commas
    • Excel: This is an Excel worksheet that contains two tabs, one for the data and the other for the data layout.
    • SPSS (Statistical Package for the Social Sciences): This file type is used for statistical analysis.
    • ASCII (American Standard Code for Information Interchange): This is a plain text file that contains data characters based on the ASCII code book.

 

 

 

Updated 2/8/2023

Trisha Moore has written 8 articles

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