Yellow Belt Improve Phase Walkthrough Tools Steps SMART Goal and Tollgate Questions
The Improve phase is where a Yellow Belt team stops explaining the problem and starts changing the process. The risk is moving too fast. A team can jump to a favorite fix, train people on the wrong behavior, or install a new step that helps one metric while hurting another.
A strong Improve phase keeps the team focused on the verified root causes from Analyze. The team creates solution ideas, chooses the best ones, tests them, measures the results, and prepares the process for Control.
This walkthrough uses one SMART goal throughout:
By June 30, 2026, increase the same-day shipment rate for eligible technician parts orders at the main parts warehouse from 82% to at least 95% by implementing improvements and staffing training to enhance operational efficiency and customer satisfaction.

What the team does in the Improve phase
In the Improve phase, the team turns root cause findings into tested process changes. The main question changes from “Why is this happening?” to “What change will close the gap without creating new problems?”
For the same-day shipment goal, the team has already defined the problem and measured the baseline. The process ships 82% of eligible technician parts orders on the same day. The target is at least 95% by June 30, 2026.
During Improve, the team typically does the following work:
Confirms the highest-impact root causes from Analyze
Creates possible solutions for each root cause
Screens solutions for impact, effort, cost, risk, and speed
Runs small pilots before full rollout
Updates work instructions, staffing plans, and training
Measures pilot results against the SMART goal
Chooses final improvements for Control
A Yellow Belt team should keep the scope tight. If the main parts warehouse is the scope, do not redesign the entire supply chain. If eligible technician parts orders are the order type, do not mix in every order category unless the data supports it.
The Improve phase tools Yellow Belts use
Yellow Belts do not need complex statistical tools to lead useful improvement work. The best tools make choices visible and prevent guesswork.
Common Improve phase tools include:
Tool | What it helps the team do | How it applies to the shipment goal |
Brainstorming | Create solution ideas | Generate ways to reduce missed same-day shipments |
Root cause and solution matrix | Link each solution to a verified cause | Prevent fixes that do not address the real problem |
Impact and effort matrix | Sort quick wins from major projects | Choose changes that can lift the rate before June 30, 2026 |
Pugh matrix | Compare solution options against criteria | Select the best staffing or picking method |
Prioritization matrix | Score ideas using weighted criteria | Balance shipment impact, cost, training time, and risk |
Pilot plan | Test changes on a small scale | Try a new order cut-off review for one shift |
Standard work | Make the improved process repeatable | Define how eligible orders are picked, packed, and staged |
Training plan | Build staff capability | Train warehouse staff on order priority rules |
Mistake-proofing | Reduce the chance of errors | Use visual flags for eligible same-day orders |
Before and after data chart | Track whether the change works | Compare same-day shipment rate before and during pilot |
The tools are simple, but the discipline matters. A team should not pick solutions based only on who speaks first or whose area owns the process.
Analyze phase tollgate questions before Improve
Before moving into Improve, the team should pass an Analyze tollgate. This review confirms the team understands the problem well enough to start testing solutions.
Use these questions to check readiness:
Has the team confirmed the problem with data?
The baseline should be clear. In this example, the same-day shipment rate is 82% for eligible technician parts orders.
Is the defect or failure clearly defined?
Define what counts as a missed same-day shipment. For example, an eligible order that was received before the cut-off but did not ship that day.
Has the team verified the main root causes?
Root causes should come from data, process observation, and team input, not opinion alone.
Does the team know where in the process the failures occur most often?
Misses may happen during order release, picking, packing, staging, carrier handoff, or staffing handoff.
Has the team segmented the data?
The team should review patterns by shift, order type, part location, day of week, cut-off time, and staffing level if available.
Are the root causes within the project scope?
If the root cause is a supplier shortage outside the warehouse, the team may need a separate project or escalation.
Has the team identified which causes have the largest effect on the goal?
The Improve phase should focus on the few causes that explain the biggest share of missed shipments.
Are customers and process stakeholders aligned on the goal?
For this project, stakeholders may include warehouse leads, technicians, dispatch, customer support, inventory control, and shipping staff.
Are data collection methods reliable enough to compare before and after results?
If the team cannot trust shipment timestamps or eligibility flags, pilot results will be hard to judge.
10. Has the team documented risks or constraints?
Examples include labor availability, carrier pick-up times, system limitations, and training windows.

Decision matrix for moving from Analyze to Improve
The decision matrix below helps a Yellow Belt team decide whether it is ready to move forward. Score each item as 0, 1, or 2.
0 means not ready
1 means partly ready
2 means ready
A practical rule is to move to Improve only when the total score is 16 or higher out of 20, with no score of 0 on root cause verification, data reliability, or project scope.
Readiness criterion | 0 points | 1 point | 2 points | Score |
Problem statement is clear | Vague or debated | Mostly clear but needs edits | Clear and agreed upon | |
SMART goal is documented | Missing or incomplete | Present but not fully measurable | Clear, measurable, dated, and scoped | |
Baseline is verified | No trusted baseline | Baseline exists with some questions | Baseline is trusted and repeatable | |
Root causes are verified | Based on opinion | Some data support | Strong data and observation support | |
Process map is complete | Missing key steps | Shows main steps only | Shows key inputs, handoffs, and failure points | |
Data is segmented | No segmentation | Some segmentation | Segmented by useful categories | |
Scope is controlled | Too broad or unclear | Mostly clear | Clear boundaries and exclusions | |
Stakeholders are aligned | Major disagreement | Minor open concerns | Agreement on problem and next step | |
Constraints are known | Not discussed | Some constraints listed | Key risks, limits, and dependencies listed | |
Improve team is ready | No owner or capacity | Partial team availability | Owners, time, and pilot area identified |
For the warehouse shipment example, the team should not move to Improve if it only knows that “orders ship late.” It should know which orders, when they miss, where delays occur, and which causes are most likely to prevent the 95% target.
Step by step Improve phase walkthrough using the SMART goal
Step 1. Restate the goal and the verified root causes
Start the Improve phase by restating the goal in plain language.
The team wants to raise the same-day shipment rate for eligible technician parts orders from 82% to at least 95% by June 30, 2026.
Then list the verified root causes from Analyze. For this walkthrough, assume the team found these causes:
Eligible orders are not always flagged clearly in the warehouse system
Pickers do not always know which orders must ship the same day
Staffing dips during the afternoon shipping window
Some high-demand parts are stored far from the packing area
Training on eligibility rules varies by shift
Each potential solution should connect to one or more of these causes.
Step 2. Brainstorm targeted solutions
The team should brainstorm fixes without judging them too early. The goal is volume first, then selection.
Possible solutions may include:
Add a visual priority flag for eligible same-day orders
Create a dedicated same-day order lane
Move high-demand technician parts closer to packing
Assign a trained same-day order coordinator during peak hours
Cross-train backup staff for afternoon shipping
Create a short standard work checklist
Add an hourly review of unshipped eligible orders
Adjust lunch and break coverage during the shipping window
Build a daily missed shipment review
This is where the Yellow Belt Improve Phase Walkthrough Tools Steps SMART Goal and Tollgate Questions become practical. Every tool should help the team choose and test changes that support the target, not just create more documentation.
Step 3. Link solutions to root causes
A root cause and solution matrix keeps the team honest.
Verified root cause | Possible improvement | Expected effect |
Eligible orders are not clearly flagged | Add visual and system priority flag | Fewer orders missed because staff can identify them faster |
Pickers do not know same-day priority | Train staff on priority rules and order flow | Better decisions during busy periods |
Staffing dips in afternoon | Adjust coverage and cross-train backup staff | More capacity before carrier cut-off |
High-demand parts are stored far away | Relocate top technician parts closer to packing | Shorter pick time for common orders |
Training varies by shift | Standardize work instructions and training checklist | More consistent performance across shifts |
If a proposed solution does not connect to a verified cause, set it aside.
Step 4. Prioritize solutions with an impact and effort matrix
Next, sort ideas by expected impact and effort.
Solution | Impact | Effort | Decision |
Visual priority flag | High | Low | Pilot first |
Hourly review of unshipped eligible orders | High | Low | Pilot first |
Cross-train backup staff | High | Medium | Plan pilot |
Relocate high-demand parts | Medium | Medium | Test with selected parts |
Build new warehouse software feature | High | High | Consider later |
Redesign full warehouse layout | Unknown | High | Out of scope for this project |
The team should favor changes that can improve the metric before the goal date. A full system rebuild may help one day, but it may not be the right Improve phase action for this Yellow Belt project.

Step 5. Select the best package of improvements
Most process problems need a small package of changes, not one isolated fix. For the shipment goal, the team may choose this improvement package:
Add a clear same-day eligibility flag in the order queue and on printed pick documents
Create a dedicated staging area for eligible technician parts orders
Start an hourly review of eligible orders not yet shipped
Move the top high-demand technician parts closer to the packing area
Train all relevant staff on the new flow, priority rules, and escalation steps
Adjust afternoon coverage so trained staff are available near the shipping cut-off
This package addresses visibility, flow, part location, staffing, and training.
Step 6. Build a pilot plan
A pilot tests the improvement before full rollout. Keep it small enough to manage but large enough to learn from.
A good pilot plan includes:
Pilot element | Example for the warehouse project |
Pilot area | Main parts warehouse, eligible technician parts orders only |
Pilot duration | Two to four weeks, depending on order volume |
Start date | Set after training and materials are ready |
Owners | Warehouse lead, Yellow Belt project lead, shipping lead |
Measures | Same-day shipment rate, missed eligible orders, pick time, rework |
Data source | Shipment timestamps, order eligibility flag, daily review log |
Success target | Improvement toward 95% without added quality issues |
Stop condition | Errors rise, staff cannot follow the process, or customer impact worsens |
The team should collect before and after data the same way. If the baseline used end-of-day shipment data, use the same method during the pilot.
Step 7. Train staff on the new standard work
Training should focus on the few behaviors that matter most.
For this example, training should cover:
How to identify eligible technician parts orders
Where same-day orders are staged
When hourly checks happen
Who handles escalation if an order may miss the cut-off
How backup staff support the process
How to record missed shipments and reasons
Keep training practical. Walk through real orders. Show the priority flag. Let staff practice moving an order from release to shipment.
A simple checklist helps:
Standard work step | Done |
Check eligible order queue at the start of the hour | |
Pick flagged same-day orders before nonurgent work | |
Stage completed orders in the same-day lane | |
Review unshipped eligible orders before carrier cut-off | |
Escalate blocked orders to the shift lead | |
Record any missed same-day shipment reason |
Step 8. Measure pilot results and adjust
During the pilot, the team should review data often. Do not wait until the end to notice that the process is not working.
Track:
Daily same-day shipment rate
Number of eligible orders
Number of missed eligible shipments
Top reasons for misses
Staff coverage during peak hours
Any quality or picking errors
If the rate rises from 82% to 90%, the team has progress but not yet enough. The missed shipment reasons will guide the next adjustment. Maybe flags work, but afternoon coverage still fails. Maybe training improved one shift but not another.
Improve is an active phase. The team tests, learns, changes, and tests again.
What readiness for Control looks like
The Improve phase is complete when the selected changes are proven, documented, and ready to hold.
For the shipment example, the team may be ready for Control when:
Same-day shipment performance is trending at or near 95%
Staff can explain and follow the new process
Missed shipment reasons are tracked consistently
Standard work is updated
Training records are complete
Process owners accept responsibility for ongoing monitoring
A control plan is drafted with response actions

Key takeaway
A Yellow Belt Improve phase should be practical, data-based, and tightly connected to the goal. For the warehouse shipment project, the team does not need a large redesign to make progress. It needs verified causes, focused solutions, a careful pilot, clear training, and steady measurement.
The best next step is to use the Analyze tollgate questions and readiness matrix before launching Improve. If the team scores well, begin with a small pilot tied directly to the SMART goal. If the score is weak, fix the gaps first. That discipline prevents wasted effort and gives the team a better chance of reaching 95% same-day shipment performance by June 30, 2026.





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