TL;DR: This article covers the day-to-day workflow for Coordinators and/or Training Program managers and how they can: add trainees to paths, adjust trainee class lists, scheduling trainees into interviews, graduating trainees when ready, and reporting on progress or trainees and training paths.
Each trainee will be in one of three statuses at any time:
You can filter by status in the Training tab to quickly see who needs attention.
2.1. Manual enrollment
The trainee is now in the In Training list for each path selected.
Tip: Use manual enrollment for training path pilots, exceptions, or smaller programs.
2.2. Auto-enrollment (overview)
To automatically enroll trainees when they meet certain criteria (e.g. tenure, tag assignment), you can use Auto-Enroll rules. This is covered in detail in the Automations & Advanced Workflows article.
Every trainee can have their own tailored class list, independent of the base path.
From the trainee’s profile:
- Add classes – e.g. add extra shadows or reverse shadows.
- Remove classes – e.g. skip reading for experienced interviewers.
- Duplicate a class – e.g. if a trainee got credit accidentally or needs to repeat a session.
- Mark a class as finished – to grant credit for training done outside of GoodTime.
Use these tools to merge legacy/manual training into GoodTime and make the path match real-world experience.
There are two primary ways to schedule trainees into interviews:
4.1. During the scheduling workflow
When scheduling a candidate:
When scheduled:
GoodTime looks for trainees who are:
- Available at the candidate’s time, and
- Closest to completing their pathway.
4.2. From the Training Path (Schedule Class)
Use this when you want to “fill in” training opportunities for a specific trainee.
This workflow is especially helpful when:
- You have a small trainee pool.
- You want manual control over which candidate/session a trainee joins.
By design, completing all classes doesn’t automatically graduate a trainee – many teams want to do a quick check-in with the Trainee before they are graduated and asked to host an interview on their own.
Typical flow:
If you prefer less manual oversight, you can configure paths to auto-graduate trainees when all conditions are met.
You can export training data to CSV for deeper analysis or sharing with managers.
Common use cases:
From the training UI:
Note: If you only with to pull a report on the overall graduation rate and training throughput by Training Path (i.e. you do not want details of individual trainees), the GoodTime Training Insights Report tracks this data at the Training Path level.