I’ve been in the Learning and Development trenches for 11 years. https://dlf-ne.org/ai-drafts-are-wordy-why-your-copy-paste-workflow-is-hurting-learner-engagement/ I’ve seen everything from perfectly scoped e-learning modules to… well, the disaster that occurs when an SME glosses over a storyboard with a Have a peek here quick "looks fine." As someone who manages a "gotchas" doc—a living list of every training failure we’ve ever endured—I can tell you that "looks fine" is the most dangerous phrase in an instructional designer's inbox. It’s not validation; it’s a time bomb.
In the last 18 months, as I’ve integrated AI into my workflow, this problem has amplified. When you use AI to draft content, there is a risk of "confident hallucination"—the AI sounds so plausible that it tricks even the most diligent human reviewer. If your SME isn't reviewing with a critical eye, they are inadvertently signing off on errors that will make your team look incompetent. We need to stop asking for "approval" and start demanding "validation."
The "Looks Fine" Trap: Why Vague Feedback Kills Projects
When an SME replies with "looks fine," it’s rarely because they are lazy. Usually, it’s because they don’t know how to review for learning effectiveness. They are subject matter experts, not instructional designers. They look at the text, think "yeah, that’s technically true," and hit send. They aren't looking for ambiguity, flow, or assessment logic.
As IDs, it is our job to scaffold the review process. If you ask a vague question like "What do you think of this module?", you get a vague answer. If you want better SME feedback, you have to change your constraints. You need to turn their review into a forensic examination of the content’s accuracy and application.
Risk-Based QA: Don’t Treat Every Slide the Same
One of the biggest mistakes in our field is applying the same level of scrutiny to a "Welcome to the Company" slide as we do to a "How to Operate the Emergency Shutdown Valve" procedure. My workflow relies heavily on risk-based QA. I categorize content before it even hits the SME’s desk:
- Low-Stakes Content: Culture, general policy overviews, or soft-skills intros. Here, we look for brand voice, spelling, and readability. Medium-Stakes Content: Product knowledge, standard workflows, and process updates. We focus on accuracy and logical flow. High-Stakes Content: Safety procedures, compliance, legal requirements, or high-consequence technical steps. This requires multi-layered validation, citation tracking, and "failure testing."
By classifying content this way, you can tell your SME exactly what you need. "This is a high-stakes module on the new safety protocol; I need you to verify every step against the current SOP, not just read it for flow."
The AI Factor: Fact-Checking and Source Tracking
I’ve been piloting AI tools for 18 months, and they are excellent at drafting—but terrible at accountability. If you let an AI write your script and an SME simply reads it and says "looks fine," you are effectively skipping quality control entirely.
To combat this, I’ve implemented a mandatory Source Tracking Sheet for every AI-assisted draft. When I send content to an SME, I include a table that looks like this:
Section AI Drafted Content Source Material (Document/Link) SME Verified? (Y/N) Module 2: Compliance Steps [Insert text] Q3 Compliance Handbook, p.14 [ ] Module 3: Troubleshooting [Insert text] Internal Wiki: Tech-Spec-v4 [ ]This forces the SME to stop saying "looks fine" and start saying "I verified this against this source." If they can’t point to a source, the content hasn't been validated.
Review Questions for SMEs: Moving Beyond "Approval"
I spend a lot of time rewriting questions to ensure they are unambiguous. You should do the the same for your SME feedback forms. Let me tell you about a situation I encountered thought they could save money but ended up paying more.. Stop sending the storyboard as a Word doc with a general "Please review" prompt. Use targeted validation prompts that force them to engage with the learning experience.
The "Break the Learner" Test
My favorite way to ensure SME buy-in is to invite them to help me "break" the training. I tell them, "I want to make sure the learner can’t possibly misunderstand this. Can you try to answer this question incorrectly?"
If you have an assessment question, ask the SME:
- "What is the most likely way a learner will misinterpret this question?" "Does this distractor (wrong answer) make sense to someone who doesn't know the material perfectly?" "If you were a new hire, what part of this instruction would make you want to ask a question?"
The Toolkit: Transforming the Review Process
If you want to reduce vague approvals, you must change your feedback mechanism. Here is a structure I’ve used to force better engagement:
Step 1: Contextualize the Review
Never send a file without a cover note. Use this formula: "This content is for [Target Audience]. The goal is [Performance Outcome]. I am specifically worried about [Potential Ambiguity] and need your eyes on [Specific Section]."
Step 2: Use a Structured Feedback Log
Stop using track changes for everything. For high-level feedback, use a simple tracking log to capture the "Why" behind the "What."
- Observation: What did they see? Impact: Why does it matter (e.g., "This could lead to a safety violation")? Proposed Change: What do they want to change?
Step 3: The "Closed-Loop" Confirmation
When you finish your revisions, send the document back with a specific request: "I’ve incorporated your feedback. Please confirm that the change in section 2 addresses your concern about [Specific Issue]." This creates a loop where the SME feels heard and responsible for the final outcome.
Summary: Take Ownership of the Validation
At the end of the day, an SME is just a person who is likely overworked. If they give you a "looks fine," it’s often a symptom of a process that doesn't provide enough structure. If you treat them like a participant in a QA process rather than a rubber stamp, the quality of your training will skyrocket.
My final piece of advice? Keep that "gotchas" doc. Every time an SME gives you a "looks fine" and a major error slips through, document it. Use it as a post-mortem to explain to your stakeholders why you’ve implemented this more rigorous validation workflow. Once you show them the cost of a bad training decision, they’ll be happy to help you build a better review process. ...you get the idea.
Stop settling for "looks fine." Start building for "definitively accurate."
