To get the most out of your training with Crunch, it's important to read through the following checklist in advance.
This training is designed for Research Managers. This is not intended for data processing traing in Crunch (e.g., using R code), which will in covered in a separate session. Please contact us for more information.
Training with Crunch operates via a learn-by-doing approach: it's not a fast-paced demonstration by a Crunch team member, but rather a Crunch curated and user self-paced experience.
- Your screen will be shared (through a Zoom call) with one of our team members.
- You will be using your computer's mouse to interact with the Crunch web interface, in order to perform suggested steps.
- Anyone else participating in the training can either watch along or have a copy of Crunch open, and then repeat the steps taken by your team's screen-sharer.
You should ensure that everyone on your team is set up in Crunch, including access to the dataset in advance of the training.
How long is the training and how many can attend?
At Crunch, we don't believe in long, drawn-out training sessions. Crunch already includes an intuitive interface and is designed with simplicity in mind, that lengthy training is hardly necessary. As such, we limit training to one-hour sessions, in order to cover the basics. Remember, you can refer to the Crunch Help Center at anytime for further information.
Because we recommend that everyone follows along, Crunch recommends not having more than 8 participants in a training session.
How to prepare in advance
Here are a few steps you can take to prepare for the training course:
- Determine if you want to work with your own dataset or a sample dataset. In general, Crunch recommends working with your own dataset.
- If using your own dataset, you must send this to Crunch at least 5 working days in advance, so that we can check that the dataset is set up and suitable for training. Most of the time it is, but in some cases, datasets need to be checked and cleaned by data processing teams, so using a raw dataset is counterproductive to research managers.
- You should also clarify whether you want training in checking and cleaning a datafile through the web app, or whether this will be handled by your internal data processing team.
- Further, in clarifying your dataset and data setup, please also send to Crunch any deliverables that you are currently working with and/or you may want to recreate using Crunch (for example, Excel tab books, PowerPoint deck with some charts, and so on).
Customizing the training program
The following are a few suggestion on how you can customize the Crunch training course to fit your needs:
- The Orientation Course for Research Managers is designed as a basic workflow, and is suitable in most cases.
- You can skip over parts of the program, if any of them are not relevant to your situation. For example, if it is likely that your dataset will be entirely set up and organized by a data processing department, then the training will follow a different course vs. uploading a raw SPSS file into Crunch.
- You can also request specific things to be covered in the training that may deviate from the Orientation Course for Research Managers.