The pick list may be confusing. If similar items sit next to each other, people can do the final check and still miss the error.
Ask: Do errors cluster on certain products or bins?Make clearer decisions. Design stronger learning.
Turn a training request into a focused design plan. Decision Workbench helps you ask the right questions, check what people need, and choose useful practice and support. Spend less time guessing and bring stronger recommendations to your stakeholders.
- Build the right solution firstSpot process, tool, and workload causes early, and put your time where it will actually pay off.
- Win the stakeholder conversationBring clear facts and questions to the conversation. Explain why you recommend a next step.
- Connect the work to resultsSet the measure up front, then show what changed at work, not just who completed.
Start with what you were asked
Add the request and the problem at work. Leave gaps and come back later. Every step reads from here.
The request
Write it as you heard it. Decide later if it fits.
A change you can check at work, such as fewer errors or faster service.
The problem at work
What people do now, and what they need to do instead.
What you know
Numbers, notes, or things you have seen. One per line.
Things you believe but have not checked yet. One per line.
Time, money, tools, or what your team can change.
Could it be something besides a skill gap?
Before you build, work through the common non-training causes and mark each one. Bring the possible ones to your stakeholder.
Rule out other causes
AI analysis · Included with The Lab™Find causes specific to your project
Errors peak between 11am and 1pm. Rushing at peak volume points to workload, not a lack of skill.
Ask: Does staffing change during the busiest hours?If speed is measured and accuracy is not, skipping the check is a rational choice.
Ask: What do packers get praised or flagged for?Do you have enough facts to move ahead?
Go through each fact and assumption from Project details. Mark what you have actually confirmed.
Check what you know
Facts and assumptions come from Project details. Edit them there.
AI analysis · Included with The Lab™Get a confidence signal on your evidence
58OF 100
Confidence signalModerate: enough to test, not to build
An AI estimate, not proof that your plan will work.
Reasons
- A clear, countable baseline: 12 of 100 orders.
- Only one week of data, and no input yet from the packers.
What could change this
Watch the packing area during the busiest hour. If items are missing even when staff do the final check, the cause is the pick list, not the people.
Turn your decision into a plan
Write what you decided. Your plan builds from your entries as you type, ready to copy or download.
Include anything you have decided not to build.
Leave blank if practice is not needed.
Language, access, tools, or rules your team must follow.
Your plan, from your entriesUpdates as you type. No AI used.
AI analysis · Included with The Lab™Draft a full authoring handoff
Authoring handoff · draftOpen questions are flagged, never invented.
- Performance problem
- Packers miss items in about 12 of 100 orders, mostly between 11am and 1pm.
- Recommended response
- Pilot a bilingual packing checklist with one team for two weeks. No course yet.
- Practice specification
- Not needed for the pilot. The gap is doing the check under time pressure.
- Build rule
- Keep the checklist to one page, usable in under 20 seconds per order.
Did it work?
After your plan is in use, record what happened and make your call on what comes next.
Your goalAdd a success measure in Project details.
Your next decision
AI analysis · Included with The Lab™Compare results with your goal
Recommended next decisionCollect more evidence first
Errors fell a lot, but order volume also dropped. Run the checklist two more weeks at normal volume before you claim impact.
Everything in one place
Your free decision brief: what your entries suggest, what to ask, and what to do next. No AI used.
Take it into your next stakeholder meetingOpen a print-ready decision brief with questions to ask and the entries behind it. Choose Save as PDF in your browser. No account needed.
Explore The Field Project transfer coming soonThe Field helps you prepare for conversations and capture notes on your phone. Sending a Workbench project directly to The Field is not available yet.
Get The Field
What would make this tool more useful?Share a suggestion or report a problem. Your feedback is private.
Get the structure down.
Work through every step yourself: rule out causes, check your facts, write the plan, and record results. Save in your browser or download a copy. No account needed.
Add a second opinion before you build.
LRI™ finds causes specific to your project, scores your evidence, drafts the authoring handoff, and reviews results. Your membership also includes Practitioner Lab and the professional community.
Need to make room for checking the facts? We Want Designers to Validate AI. Will We Give Them Time?
Part of The Lab™. Powered by LRI™. You choose each analysis and make the final decision.