Q Research Software

A user would like to add an option that would allow them to automatically weight & update Wave, ensuring that all Waves contribute the same to the Total sample. For example, if a data set contains 10 waves, each wave would contribute 10% to the Total Sample. When the next (11th) Wave of data is added, the weight would recalculate, and each wave would represent 1/11th of the Total Sample.

User states, “I know it's a long shot, but a dark mode would be a nice feature to add to the software. I spend a lot of time working and a lot of lighting is not good for me.”

From time to time, customers wish to increase the font size of Q’s UI so they can read text more clearly. This customer wishes to have an option that allows setting font size instead of having to change display settings.

Since Displayr filters and Q filters work differently (ie: Displayr filters have a concept of "OR" where as Q does not), when certain filters are applied in Displayr, then opened in Q, Q raises a warning when accessing these outputs. This warning can be annoying since it must be acknowledged for EACH OUTPUT. In a document with 100s of filtered outputs, this is a poor experience. Instead, the user should get this wanring ONCE and have the option to accept this warning in all instances.

In many of our projects, we work with a large number of banner folders—sometimes 20 to 30 banners—while using the same set of tables. Currently, if a new table is added or an existing table is updated in the Master Tables folder, we must manually replicate those changes across all banner folders. Ability to Link Banner Folder to Master Tables Folder

In large reports, it becomes laborious to identify the GUID of specific charts or tables by right-clicking each item. A search functionality to quickly find the item GUID would simplify this process and enhance efficiency.

It should be possible to select part of a cell (row/column headers) and format that part of the text differently to the rest of the cell, e.g., bolding half the text and leaving the rest normal.

The concept behind this approach—to have the flexibility to nest tables with variables already available, rather than creating new banner variables for every permutation—is a smart way to simplify and streamline your workflow. By reducing the number of variables in a dataset, this method can make it much easier to manage and analyze your data effectively.

Whenever we work with tables in R, we only get the first statistic, or elements of the original Q tables "drop off" This request is to make sure that when we conduct R operations on a table that has significance results (as exception tests) these are retainable and will show for the relevant rows/columns regardless of the "shape" of the final output.

Variables can be reset en masse in the variables and questions tab, however, if one were to add nets to multiple tables, each table would need to be reverted individually. The client ran into the problem of using the template for replication on tables that already had table modifications (i.e. nets), and couldn't update the netting structure en masse by using the template for replication because the tables the client wanted to affect already had some modifications - which throws an error. An easy solution to this problem would allow resetting table settings en masse.