Problem statement
07-your-first-workflow.md is the third-highest-dropout step in the curriculum (20.0% conditional dropout among 21,923 at-risk simulated runs, 95% MC interval 19.5%–20.6%), driven mainly by copilot-access-missing (3,792 failures) and workflow-authoring-friction (1,207 failures). Content inspection shows the page has the highest cognitive_load score in the corpus (10.0/10) because it stacks a Copilot-access verification task, a full prompt-engineering explanation (the /agentic-workflows skill prompt and its NOTE callout about agent-harness differences), YAML frontmatter review, a compile step, and a commit/push step all on one page — while the underlying compile/publish state itself is well-supported (confirmed via content evaluation: both Step 7's own commit/push section and the required Step 7d billing side quest walk learners through gh aw compile → git commit → git push at least twice before Step 8).
Proposed change
Move the "Use the AI agent..." explanatory NOTE callout and its harness-difference rationale into a linked callout/side-quest reference (keep only a one-line pointer inline), so the main page flow is: verify access → run the authoring prompt → review output → compile → commit/push → checkpoint. This reduces the amount of prose a learner must parse mid-task without removing the prompt template, the generated-file example, or any checklist item.
Failure mode classification
Access barrier for the copilot-access-missing failures (the page already gates hard on this with a clear "do not continue" callout and a link to Step 7d for troubleshooting) combined with a learning barrier contribution from workflow-authoring-friction (task/concept stacking). This repair targets the learning-barrier portion; the access-barrier portion is already well-handled by the existing hard gate and troubleshooting link and should not be weakened.
Quantitative guardrail
Current scores for 07-your-first-workflow.md:
overall_score: 6.25/10
- Weakest rubric dimensions:
checkpoint_quality 0.0/10 (rubric detection artifact — page uses :white_check_mark: shortcode) and readability 8.3/10 with cognitive_load at the corpus maximum (10.0/10)
- Learning KPI index:
(2.0×6.3 + 2.0×0.0 + 1.5×5.0)/5.5 = 3.65/10 (already the second-highest KPI index among the three selected high-risk steps, reflecting genuinely strong hands-on task design)
Trimming the inline harness-difference explanation into a linked callout reduces cognitive_load without touching the hands-on authoring task, the generated-file example, the compile step, or the checklist — so active_learning and scaffolding should stay flat or improve, and overall_score/KPI index should not regress.
Acceptance criteria
Suggested owner
copilot coding agent
Related to #3152
Generated by 🔬 Workshop Student Simulator · copilot · auto · 271 AIC · ⌖ 27.2 AIC · ⊞ 15.2K · ◷
Problem statement
07-your-first-workflow.mdis the third-highest-dropout step in the curriculum (20.0% conditional dropout among 21,923 at-risk simulated runs, 95% MC interval 19.5%–20.6%), driven mainly bycopilot-access-missing(3,792 failures) andworkflow-authoring-friction(1,207 failures). Content inspection shows the page has the highestcognitive_loadscore in the corpus (10.0/10) because it stacks a Copilot-access verification task, a full prompt-engineering explanation (the/agentic-workflowsskill prompt and its NOTE callout about agent-harness differences), YAML frontmatter review, a compile step, and a commit/push step all on one page — while the underlying compile/publish state itself is well-supported (confirmed via content evaluation: both Step 7's own commit/push section and the required Step 7d billing side quest walk learners throughgh aw compile→git commit→git pushat least twice before Step 8).Proposed change
Move the "Use the AI agent..." explanatory NOTE callout and its harness-difference rationale into a linked callout/side-quest reference (keep only a one-line pointer inline), so the main page flow is: verify access → run the authoring prompt → review output → compile → commit/push → checkpoint. This reduces the amount of prose a learner must parse mid-task without removing the prompt template, the generated-file example, or any checklist item.
Failure mode classification
Access barrier for the
copilot-access-missingfailures (the page already gates hard on this with a clear "do not continue" callout and a link to Step 7d for troubleshooting) combined with a learning barrier contribution fromworkflow-authoring-friction(task/concept stacking). This repair targets the learning-barrier portion; the access-barrier portion is already well-handled by the existing hard gate and troubleshooting link and should not be weakened.Quantitative guardrail
Current scores for
07-your-first-workflow.md:overall_score: 6.25/10checkpoint_quality0.0/10 (rubric detection artifact — page uses:white_check_mark:shortcode) andreadability8.3/10 withcognitive_loadat the corpus maximum (10.0/10)(2.0×6.3 + 2.0×0.0 + 1.5×5.0)/5.5= 3.65/10 (already the second-highest KPI index among the three selected high-risk steps, reflecting genuinely strong hands-on task design)Trimming the inline harness-difference explanation into a linked callout reduces
cognitive_loadwithout touching the hands-on authoring task, the generated-file example, the compile step, or the checklist — soactive_learningandscaffoldingshould stay flat or improve, andoverall_score/KPI index should not regress.Acceptance criteria
overall_scorefor07-your-first-workflow.mdstays flat or improves after the change (baseline: 6.25/10)(2.0 × active_learning + 2.0 × checkpoint_quality + 1.5 × scaffolding) / 5.5stays flat or improves (baseline: 3.65/10)Suggested owner
copilot coding agentRelated to #3152