Understanding Your Data: A general orientation to your Hi Rasmus workbook
Your Hi Rasmus workbook pulls together aggregate data from across your organization rolled-up views of your programs, sessions, and client information so you can check on activity, outcomes, and data completeness in one place, without needing to dig through raw records yourself.
The Data, by Level
Everything in the workbook rolls up from the same underlying levels of data:
- Trial: the most granular record: a single opportunity to demonstrate a skill during a session.
- Target: a specific skill or objective being tracked and mastered within a program.
- Program: the treatment program or goal area a client is working on.
- Session: an individual session held with a client, including the hours and details tied to it.
- Client: information tied to an individual client, including profile and custom data fields.
- Staff: information tied to the staff/clinicians delivering services.
The tabs in your workbook are really just different lenses on these same six levels organized by the question you're trying to answer, not by data type alone.
Where to Generally Look: Rather than a list of every tab, here's the general map. The view fall into four broad views:
1. Auditing Views: What's running, and how often?
This shows your organization's program library to audit how programs are standardized across clients. This also shows which programs are attached to sessions in a given month, and how frequently each one is being run. This is your starting point for confirming activity looks the way you'd expect.
2. Outcomes & Performance Views: How are clients progressing, and where is time going?
Shows mastered targets by client and program, core performance metrics (session hours, trial counts, rate of skill acquisition, and similar), and how session hours break down by program — useful for spotting where clinical time is concentrated.
3. Data Completeness Views: Is our data complete enough to trust?
Checks whether client, program, and session records have the fields they need — things like tags, treatment areas, and custom data fields. A record with a missing field shows up as blank rather than filled in, which is a quick visual flag. A small amount of missing data is normal; a large or growing amount is usually a sign of a workflow gap worth addressing.
4. Scheduling & Mapping Views: Is this client set up correctly for staff to work with them?
Shows which session types are mapped and available for a given client, so you can confirm a clinician has what they need before a session.