Analysis Wizard: Assumptions

What assumptions are and how they will affect your analysis.

David Wiggington avatar
Written by David Wiggington
Updated over a week ago

The VisionLTC Analysis platform is dependent upon user inputs. The assumptions tab is where you can change inputs that feed directly into the metric output calculations.

In this step of the analysis, you can click into any unique assumption category to alter the individual assumption values.

So, what are assumptions? Assumptions are user-defined parameters that are used to calculate the metrics in your analysis. Assumptions include parameters such as: income thresholds, net worth thresholds, disability/frailty rates, supply age filters, bed count adjusters, and many more levers. The values of any assumption can be altered to ensure the metrics in your analysis are calculated based on the parameters that you deem appropriate. Once you run an analysis, the assumption values for that analysis can no longer be changed. If you need/want to change the value of an assumption and recalculate a metric(s), then you’ll need to run a new analysis.

Each assumption has a pre-set default value, so, if you choose not to change the value of an assumption, then the analysis will be processed using the default values that automatically display on the Assumptions tab.

How do assumptions change your data? Assumptions serve as a basis for what you would like to be displayed. Think of these inputs as the parameters that each data point must obey to be incorporated in the metrics. For example, if you were to alter the IL Income Threshold, each metric that uses data for IL qualified individuals would have to surpass that threshold. For instance, if you changed the IL Income Threshold to $60,000, and the Income Qualified 75+ CY metric displayed 100, then there are 100 households in your market area that are aged 75 and older and have incomes of $60,000 or greater.

NOTE: Be sure to pay attention to the format of each default input (number, decimal, etc.) as to avoid incorrectly setting a threshold (i.e. setting an assumption to 100% when you intended it to be set to 1%).

Change the assumptions to your desired values and click “Submit Analysis” to process your Analysis.

Please note that not all metrics are dependent on assumption values (Ex: Median Home Value CY), but many metrics are built so that assumption inputs can be used to customize the metric output (Ex: IL Income Qualified 75+ CY).

NOTE: If you do not alter these values, the default values will be used.

Saving Assumptions

You have the option of saving assumption values for future reference, which can be very handy if you find yourself changing an assumption’s value regularly, or if you have different groups of assumptions that you use frequently.

To use this feature, simply set each assumption to your desired value, then click on the “Save” button – it looks like a cloud with an up arrow – and name your saved assumption list.

You can now use this saved assumptions list by opening the dropdown menu under “Select Saved Assumptions.” These saved assumptions lists are private to each user and cannot be viewed by or shared with anyone else. To delete a set of Saved Assumptions, select the assumption list name and then click the delete button.

Another option to consider, when you find yourself continually altering assumptions’ values, is to have the default assumptions changed to a new value. Our team is happy to alter the default values for any of your assumptions, just let us know what you’d like to change and what values to set as the defaults. Please note, that changing your default assumptions to a new value will affect all users across your organization. Please confer with your team before requesting an assumption default value change.

Have any questions about assumptions or how they're used in an analysis? Message us on Intercom or send us an email at support@visionltc.com.

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