The RORC system is a tool for performing Remote Online Survey
Research for a WWW server. The system allows interactive animated
survey and analysis of attendance at web pages and links of
the Microsoft IIS server-equipped website. With the system,
one can put a questionnaire on any web link from a remote
computer while not changing web pages themselves. The information
on visiting particular pages, links as well as responses to
the forms is stored to a Microsoft SQL Server database. Answers
to the simplest questions are displayed in histograms.
The system is implemented using the client/server technique
as a 3-tiered application. The client code is executed on
NeXTSTEP operating system, which belongs to the UNIX family.
The program deals with arbitrary static HTML pages.
No special processing of the existing web pages is required.
Renewal of the data can be made both automatically and interactively.
The special mode exists, allowing to review the history of
website utilization in animated manner, given any interval
of time. Operator can choose proper frequency and discreteness
of the data.
The location of a form in the web structure can be
set to vary randomly, which can help in performing more representative
questioning of the website visitors.
The program offers obvious and natural representation
of website utilization using color map, which can be easily
adjusted with the Color Map panel.
An original representation of the general web document
structure is used.
Convenient graphical user interface allows effective
use of the screen work area.
After migrating this product to Windows NT/95, it will be
integrated with the Microsoft FrontPage. This will make it
possible to localize the work of website editing and making
Online Survey Research in a single remote workstation. By
this, the production cycle of advertisement preparation will
be greatly reduced, while selectivity and efficiency will
improve. The system installation and administration procedures
will also become much simpler.
Several data analysis features are planned, including
neural network processing of the visitors flow structure.
You can download the self-extracting tutorial for RORC (189 Kb)
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