Role families and evidence-based gap analysis
Match your demonstrated work to the tasks in a job posting.
In this lesson · T1 of 4
All lessons in this track →Progress for this track is saved in this browser only. No completion badge is issued. View your learning.
Start with the idea
Match your demonstrated work to the tasks in a job posting.
Read what the role requires someone to do. Match each task to work you can show. Treat missing experience as a learning goal, not a claim to add to your profile.
Gap analysis: Comparing required skills with the evidence you currently have.
See the example and check your understanding
A made-up teaching example
Riley has a repeatable source-checking exercise but no service-recovery evidence. The analyst posting has stronger support than the platform role. A recovery lab is a next learning step.
Ask yourself
Does an AI job title prove that every role needs the same skills?
Show the explanation
No. Use the actual tasks and requirements. A saved training example supports only the work and conditions it demonstrates.
Start with these checks
- Name evidence for each supported task.
- Keep missing evidence explicit.
- Do not promise a hiring outcome.
Use the different practice case below and check every requirement in its full instructions.
The video explains the main idea. Use the sources, instructions and checks below to complete the practice.
Captions appear here during playback.
Role families and evidence-based gap analysis
Match your demonstrated work to the tasks in a job posting.
Video playback is unavailable. Read the descriptive transcript below, go directly to practice, or open the video file.
Source-based teaching example · Fictional data · Reviewed 2026-10-03. Microsoft Mark · locally synthesized. On a small screen, use fullscreen for diagram details or read the transcript.
Read the descriptive transcript
0:00 · What you will learn
Match your demonstrated work to the tasks in a job posting.
What appears on screen
Match your demonstrated work to the tasks in a job posting.
0:06 · The idea
Read what the role requires someone to do. Match each task to work you can show. Treat missing experience as a learning goal, not a claim to add to your profile.
What appears on screen
Read what the role requires someone to do. Match each task to work you can show. Treat missing experience as a learning goal, not a claim to add to your profile.
0:19 · One useful term
Gap analysis. Comparing required skills with the evidence you currently have.
What appears on screen
Comparing required skills with the evidence you currently have.
0:28 · A worked example
Riley has a repeatable source-checking exercise but no service-recovery evidence. The analyst posting has stronger support than the platform role. A recovery lab is a next learning step.
What appears on screen
Riley has a repeatable source-checking exercise but no service-recovery evidence. The analyst posting has stronger support than the platform role. A recovery lab is a next learning step.
0:43 · Your turn to think
Does an AI job title prove that every role needs the same skills? Pause and decide before continuing.
What appears on screen
Does an AI job title prove that every role needs the same skills? Pause the video if you need more time.
1:01 · Why this answer works
No. Use the actual tasks and requirements. A saved training example supports only the work and conditions it demonstrates.
What appears on screen
No. Use the actual tasks and requirements. A saved training example supports only the work and conditions it demonstrates.
1:12 · Check 1
Name evidence for each supported task.
What appears on screen
Name evidence for each supported task.
1:18 · Check 2
Keep missing evidence explicit.
What appears on screen
Keep missing evidence explicit.
1:23 · Check 3
Do not promise a hiring outcome.
What appears on screen
Do not promise a hiring outcome.
1:28 · Now try a different case
Open the lesson and try its different practice case. Use every check in the full task. Watching alone does not mark the lesson complete.
What appears on screen
Open the lesson Try the new case Check and revise The full task and its requirements are in the linked lesson.
Watching explains the example. Complete the lesson practice to check what you can do. Explore all visual lessons →
Prerequisites: distinguish output from evidence; review the AI workflow reference. Public self-study is not official agency training, accreditation or a credential.
What you will be able to do
This lesson develops the ability to select target roles from observable tasks and evidence. The setting is RILEY CHEN Evidence Portfolio, a wholly fictional transition record, synthetic course artifacts, fictional employer postings, and intentionally flawed public-facing career materials. Every person, organization, system record, metric, and outcome in the case is fictional. Do not replace the case with operational, classified, CUI, export-controlled, proprietary, employer-confidential, or third-party personal information.
By the end of the lesson, you will be able to:
- Demonstrate how to select target roles from observable tasks and evidence.
- Apply that model to the synthetic RILEY CHEN Evidence Portfolio environment.
- Produce a reviewable artifact that separates evidence, assumption, uncertainty, and authority.
- Recognize the critical failure and select a safe remediation path.
The performance standard is not confident language. It is a traceable decision, an artifact another qualified reviewer can inspect, a clear boundary around the learner’s authority, and a safe response to uncertainty. Knowledge checks are formative and do not award a certification or endorsement.
This curriculum runs self-study on VetsLearn. Where the text calls for an instructor, peer or formal review, use the stated acceptance criteria for self-review. Reflection questions support reflection; they do not replace independent assessment. A peer review is optional unless your actual organization requires it.
Part 1 Requirement-to-evidence mapping
Parse tasks, outputs, tools, autonomy and experience, because titles vary. Distinguish assertion, description, artifact, reproducible artifact, observed performance and verified workplace outcome. A synthetic artifact demonstrates a bounded method, not production impact. Separate must-have task evidence, learnable gaps and preferences. Dated postings inform a particular search, not all roles. Chat familiarity is not serving or tool-permission engineering.
Score evidence against a posting
Use task rows rather than a single overall confidence score. “I know Python” is an assertion. A script with fixtures is an artifact. A clean reproduction with expected and failure outputs strengthens task evidence. Observed workplace outcomes require their own valid record and release permission; they cannot be inferred from a lab.
| Fictional task | Riley’s evidence | Status | Next evidence step |
|---|---|---|---|
| Audit citations | Ten-question synthetic audit | Demonstrated in lab | Add conflicting-source cases |
| Write decision brief | Brief with failure and scope | Demonstrated in lab | Have another reader reconstruct it |
| Serve an application | Screenshot only | Partial | Reproducible startup and error handling |
| Restore production service | None | Absent | Synthetic recovery exercise |
Target decision: apply the same mapping to each fictional role. Analyst evidence is stronger than platform evidence here. That does not prove an employer will hire Riley; it identifies a defensible current narrative and a focused learning gap.
Feedback: do not count one artifact as independent proof of every requirement. Describe precisely which task it exercises, under what conditions and with which limitations.
Part 2 Synthetic worked example
Analyst posting asks for source audits and briefs. Platform posting asks for serving, recovery and on-call. Riley has a reproducible synthetic audit but no recovery evidence. The analyst tasks have stronger support; a recovery lab is a learning target rather than claimed experience.
Guided practice: identify the unsupported conclusion, name missing evidence and rewrite its scope. Change one assumption and identify which decision reopens.
Part 3 Feedback and repair
Pass when demonstrated rows name artifacts and scope, missing evidence stays missing and role targeting promises no hiring outcome.
Retain the failed version, explain the criterion, correct the artifact and test a different invented case.
Next step: carry the artifact and failed cases into the next module lesson or capstone. Retain limitations when explaining your work.