Laizu Begum
501142 · Team Leader · Sewing Line-B01 · joined 28 Mar 2022
Pay justification
101% skill across 4 expert-level operations. Ready to lead a section or run new-style changeovers.
Skill and salary since joining — both indexed to 100
If the orange line falls below the blue one, pay has grown faster than measured capability.
Operation profile
Best recorded efficiency per operation
Skill inventory
Every operation this worker has been tested on — the basis for line allocation
| Operation | Category | M/C | Best eff. | Grade | Tests | Last |
|---|---|---|---|---|---|---|
| Attach reinforcement patch to body (Four corner) | Critical | SNLS | 103.7 | A+ | 7 | 28 Mar 2026 |
| Cargo Pocket Flap Top Stitch | Semi-critical | 2NCS | 103.1 | A+ | 5 | 28 Mar 2026 |
| Attach sleeve after side seam by OL | Critical | OL 5 | 100.6 | A+ | 9 | 28 Mar 2026 |
| J-Round Top Stitch With Mark | Critical | 2NLS | 95.8 | A+ | 6 | 28 Mar 2026 |
Latest assessment — 28 Mar 2026
Assessment #9 · periodic · assessor Md. Rafiqul Islam (IE)
| Operation | Category | M/C | Target /hr | Cycle times (sec) | Avg cycle | Achieved /hr | Efficiency | Grade | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Attach reinforcement patch to body (Four corner) | Critical | SNLS | 70 | 50.2 | 53.5 | 48.6 | 47.2 | 49.3 | 49.75 | 72 | 103.7% | A+ |
| Attach sleeve after side seam by OL | Critical | OL 5 | 92 | 38.7 | 41.0 | 38.2 | 36.6 | 39.5 | 38.78 | 93 | 100.6% | A+ |
| J-Round Top Stitch With Mark | Critical | 2NLS | 171 | 21.9 | 23.3 | 22.3 | 22.7 | 22.4 | 22.51 | 160 | 93.3% | A+ |
| Cargo Pocket Flap Top Stitch | Semi-critical | 2NCS | 120 | 28.5 | 30.2 | 29.9 | 27.7 | 29.3 | 29.11 | 124 | 103.1% | A+ |
Target /hr = 60 ÷ SMV. Achieved /hr = 3600 ÷ average cycle time. Efficiency = achieved ÷ target. Identical to the IE department's stop-watch method.
Assessment history
Complete audit trail
| # | Date | Type | Skill | Grade | Ops | Entitled |
|---|---|---|---|---|---|---|
| 9 | 28 Mar 2026 | periodic | 100.9 | A+ | 4 | 21,245 |
| 8 | 28 Sept 2025 | post training | 99.2 | A+ | 4 | 20,956 |
| 7 | 28 Mar 2025 | periodic | 96.8 | A+ | 4 | 20,649 |
| 6 | 28 Sept 2024 | periodic | 96.6 | A+ | 4 | 20,399 |
| 5 | 28 Mar 2024 | periodic | 95.9 | A+ | 4 | 20,137 |
| 4 | 28 Sept 2023 | periodic | 92.1 | A+ | 3 | 19,799 |
| 3 | 28 Mar 2023 | periodic | 88.8 | A+ | 2 | 19,477 |
| 2 | 28 Sept 2022 | periodic | 81.8 | A | 1 | 19,066 |
| 1 | 28 Mar 2022 | joining | 80.0 | B+ | 1 | 18,783 |
Salary history
Every revision, with the skill level at the time
| Effective | Reason | From | To | Increase | Skill then |
|---|---|---|---|---|---|
| 28 Mar 2026 | annual increment | 23,171 | 25,141 | +8.5% | 100.9% |
| 28 Mar 2025 | annual increment | 21,258 | 23,171 | +9.0% | 96.8% |
| 28 Mar 2024 | annual increment | 19,503 | 21,258 | +9.0% | 95.9% |
| 28 Mar 2023 | annual increment | 17,893 | 19,503 | +9.0% | 88.8% |
| 28 Mar 2022 | joining | 0 | 17,893 | — | 80.0% |
Year-by-year record
The yearly average that drives every verdict
| Year | Avg skill | Skill Δ | Salary | Salary Δ | Gap | Verdict |
|---|---|---|---|---|---|---|
| 2026 | 100.5 | +3.0% | 25,141 | +7.9% | +3691 | Partial |
| 2025 | 97.6 | +2.2% | 23,171 | +9.0% | +2092 | Partial |
| 2024 | 95.5 | +7.6% | 21,258 | +9.0% | +736 | Partial |
| 2023 | 88.7 | +10.0% | 19,503 | +7.5% | -417 | Earned |
| 2022 | 80.7 | — | 17,893 | — | -1294 | New |
Training record
Measured effect of each intervention
| Programme | Date | Hours | Before | After | Gain |
|---|---|---|---|---|---|
| Quality at Source | 15 Aug 2025 | 20 | 95.5 | 99.2 | +3.8 |
Personal file
From the IE assessment sheet and Jibika master