Why are deliveries late?

THE QUESTION

Why are deliveries late?

Does one influence the other? Three quarters of the votes cast decide.

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why

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161 / 162 settled 0 for you to answer

Last tally: 161 decided · 0 escalated to cross-group panels · 0 contested · 1 below quorum — panels need at least max(2, 75% of panel) votes cast; your smallest panel has 15 members.

close ✕

Schedules change too late to adapt → influences? → Fixes are patched locally and never shared

Nothing said yet.

Completed phase — the record of pairs and votes stands above.Logic sidecar ↗

A short pick is recorded as complete so the line keeps moving	→	Peak-hour load exceeds planned capacity	open	discuss
The forecast is made by people who never see a peak	→	Targets reward speed over accuracy	✓ yes	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	Fixes are patched locally and never shared	✓ yes	discuss
Targets reward speed over accuracy	→	Fixes are patched locally and never shared	✓ yes	discuss
Fixes are patched locally and never shared	→	We spend more time fixing errors than we would preventing them	✓ yes	discuss
Fixes are patched locally and never shared	→	Targets reward speed over accuracy	✓ yes	discuss
Targets reward speed over accuracy	→	Nobody checks a pallet before it is wrapped	✓ yes	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	Targets reward speed over accuracy	✓ yes	discuss
Picks are wrong often enough that customers now check every pallet	→	Overtime is the normal way we finish a week, not the exception	✓ yes	discuss
Overtime is the normal way we finish a week, not the exception	→	A short pick is recorded as complete so the line keeps moving	✓ yes	discuss
Peak-hour load exceeds planned capacity	→	Overtime is the normal way we finish a week, not the exception	✓ yes	discuss
Two products with almost the same code sit on the same rack	→	Picks are wrong often enough that customers now check every pallet	✓ yes	discuss
Small errors are hidden to avoid blame	→	A short pick is recorded as complete so the line keeps moving	✓ yes	discuss
New staff copy bad habits from old hands	→	Picks are wrong often enough that customers now check every pallet	✓ yes	discuss
We measure errors per order, so a bigger order hides more mistakes	→	Two products with almost the same code sit on the same rack	✓ yes	discuss
Small errors are hidden to avoid blame	→	Two products with almost the same code sit on the same rack	✓ yes	discuss
Supervisors are measured on dispatch time and nothing else	→	A short pick is recorded as complete so the line keeps moving	✓ yes	discuss
A short pick is recorded as complete so the line keeps moving	→	Picks are wrong often enough that customers now check every pallet	✓ yes	discuss
A short pick is recorded as complete so the line keeps moving	→	Small errors are hidden to avoid blame	✓ yes	discuss
Peak-hour load exceeds planned capacity	→	Picks are wrong often enough that customers now check every pallet	✓ inferred	discuss
Picks are wrong often enough that customers now check every pallet	→	A short pick is recorded as complete so the line keeps moving	✓ inferred	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	The pick list order does not match the aisle order	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	The forecast is made by people who never see a peak	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	Fixes are patched locally and never shared	✗ no	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
The pick list order does not match the aisle order	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
Targets reward speed over accuracy	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
Targets reward speed over accuracy	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
The forecast is made by people who never see a peak	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
Schedules change too late to adapt	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
The pick list order does not match the aisle order	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
The pick list order does not match the aisle order	→	Targets reward speed over accuracy	✗ no	discuss
Targets reward speed over accuracy	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	Schedules change too late to adapt	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
Data lives in three systems that disagree	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
The forecast is made by people who never see a peak	→	The pick list order does not match the aisle order	✗ no	discuss
The forecast is made by people who never see a peak	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
Fixes are patched locally and never shared	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
Targets reward speed over accuracy	→	The forecast is made by people who never see a peak	✗ no	discuss
Data lives in three systems that disagree	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
Schedules change too late to adapt	→	Data lives in three systems that disagree	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	The pick list order does not match the aisle order	✗ no	discuss
Data lives in three systems that disagree	→	Schedules change too late to adapt	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	Data lives in three systems that disagree	✗ no	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	The forecast is made by people who never see a peak	✗ no	discuss
Schedules change too late to adapt	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	Targets reward speed over accuracy	✗ no	discuss
The forecast is made by people who never see a peak	→	Data lives in three systems that disagree	✗ no	discuss
Fixes are patched locally and never shared	→	The pick list order does not match the aisle order	✗ no	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	Fixes are patched locally and never shared	✗ no	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	Schedules change too late to adapt	✗ no	discuss
Schedules change too late to adapt	→	The pick list order does not match the aisle order	✗ no	discuss
Schedules change too late to adapt	→	Fixes are patched locally and never shared	✗ no	in focus ↑ · close ✕
Fixes are patched locally and never shared	→	Data lives in three systems that disagree	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	Data lives in three systems that disagree	✗ no	discuss
Data lives in three systems that disagree	→	The forecast is made by people who never see a peak	✗ no	discuss
Schedules change too late to adapt	→	Targets reward speed over accuracy	✗ no	discuss
Schedules change too late to adapt	→	The forecast is made by people who never see a peak	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	Data lives in three systems that disagree	✗ no	discuss
The pick list order does not match the aisle order	→	Schedules change too late to adapt	✗ no	discuss
The forecast is made by people who never see a peak	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	Fixes are patched locally and never shared	✗ no	discuss
The pick list order does not match the aisle order	→	The forecast is made by people who never see a peak	✗ no	discuss
Data lives in three systems that disagree	→	Targets reward speed over accuracy	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
Fixes are patched locally and never shared	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	Schedules change too late to adapt	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	The pick list order does not match the aisle order	✗ no	discuss
The pick list order does not match the aisle order	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
Fixes are patched locally and never shared	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
The forecast is made by people who never see a peak	→	Fixes are patched locally and never shared	✗ no	discuss
Schedules change too late to adapt	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
The forecast is made by people who never see a peak	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
Targets reward speed over accuracy	→	The pick list order does not match the aisle order	✗ no	discuss
Fixes are patched locally and never shared	→	The forecast is made by people who never see a peak	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	The forecast is made by people who never see a peak	✗ no	discuss
Data lives in three systems that disagree	→	The pick list order does not match the aisle order	✗ no	discuss
Targets reward speed over accuracy	→	Data lives in three systems that disagree	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	The handheld takes four seconds to confirm, so people batch their scans	✗ no	discuss
Targets reward speed over accuracy	→	Schedules change too late to adapt	✗ no	discuss
The forecast is made by people who never see a peak	→	Schedules change too late to adapt	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	Schedules change too late to adapt	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	The forecast is made by people who never see a peak	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	The pick list order does not match the aisle order	✗ no	discuss
Data lives in three systems that disagree	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
The pick list order does not match the aisle order	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	We spend more time fixing errors than we would preventing them	✗ no	discuss
We spend more time fixing errors than we would preventing them	→	Targets reward speed over accuracy	✗ no	discuss
Nobody checks a pallet before it is wrapped	→	Targets reward speed over accuracy	✗ no	discuss
Data lives in three systems that disagree	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
The handheld takes four seconds to confirm, so people batch their scans	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
The pick list order does not match the aisle order	→	Fixes are patched locally and never shared	✗ no	discuss
Fixes are patched locally and never shared	→	Schedules change too late to adapt	✗ no	discuss
Data lives in three systems that disagree	→	Fixes are patched locally and never shared	✗ no	discuss
Schedules change too late to adapt	→	The best pickers are moved to whatever is late, so nobody learns a zone	✗ no	discuss
The pick list order does not match the aisle order	→	Data lives in three systems that disagree	✗ no	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	Nobody checks a pallet before it is wrapped	✗ no	discuss
The best pickers are moved to whatever is late, so nobody learns a zone	→	Data lives in three systems that disagree	✗ no	discuss
Supervisors are measured on dispatch time and nothing else	→	Two products with almost the same code sit on the same rack	✗ no	discuss
Two products with almost the same code sit on the same rack	→	New staff copy bad habits from old hands	✗ no	discuss
Supervisors are measured on dispatch time and nothing else	→	Overtime is the normal way we finish a week, not the exception	✗ no	discuss
We measure errors per order, so a bigger order hides more mistakes	→	New staff copy bad habits from old hands	✗ no	discuss
New staff copy bad habits from old hands	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
New staff copy bad habits from old hands	→	A short pick is recorded as complete so the line keeps moving	✗ no	discuss
New staff copy bad habits from old hands	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
Picks are wrong often enough that customers now check every pallet	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
A short pick is recorded as complete so the line keeps moving	→	Two products with almost the same code sit on the same rack	✗ no	discuss
New staff copy bad habits from old hands	→	Peak-hour load exceeds planned capacity	✗ no	discuss
Two products with almost the same code sit on the same rack	→	Peak-hour load exceeds planned capacity	✗ no	discuss
We measure errors per order, so a bigger order hides more mistakes	→	A short pick is recorded as complete so the line keeps moving	✗ no	discuss
Small errors are hidden to avoid blame	→	Picks are wrong often enough that customers now check every pallet	✗ no	discuss
We measure errors per order, so a bigger order hides more mistakes	→	Overtime is the normal way we finish a week, not the exception	✗ no	discuss
We measure errors per order, so a bigger order hides more mistakes	→	Picks are wrong often enough that customers now check every pallet	✗ no	discuss
Picks are wrong often enough that customers now check every pallet	→	Small errors are hidden to avoid blame	✗ no	discuss
Supervisors are measured on dispatch time and nothing else	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
Peak-hour load exceeds planned capacity	→	A short pick is recorded as complete so the line keeps moving	✗ no	discuss
A short pick is recorded as complete so the line keeps moving	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
Overtime is the normal way we finish a week, not the exception	→	Picks are wrong often enough that customers now check every pallet	✗ no	discuss
We measure errors per order, so a bigger order hides more mistakes	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
Peak-hour load exceeds planned capacity	→	Two products with almost the same code sit on the same rack	✗ no	discuss
Peak-hour load exceeds planned capacity	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
New staff copy bad habits from old hands	→	Small errors are hidden to avoid blame	✗ no	discuss
Small errors are hidden to avoid blame	→	Overtime is the normal way we finish a week, not the exception	✗ no	discuss
We measure errors per order, so a bigger order hides more mistakes	→	Peak-hour load exceeds planned capacity	✗ no	discuss
Picks are wrong often enough that customers now check every pallet	→	Peak-hour load exceeds planned capacity	✗ no	discuss
A short pick is recorded as complete so the line keeps moving	→	Overtime is the normal way we finish a week, not the exception	✗ no	discuss
Supervisors are measured on dispatch time and nothing else	→	Small errors are hidden to avoid blame	✗ no	discuss
Overtime is the normal way we finish a week, not the exception	→	Small errors are hidden to avoid blame	✗ no	discuss
Two products with almost the same code sit on the same rack	→	Overtime is the normal way we finish a week, not the exception	✗ no	discuss
Supervisors are measured on dispatch time and nothing else	→	New staff copy bad habits from old hands	✗ no	discuss
Overtime is the normal way we finish a week, not the exception	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
Supervisors are measured on dispatch time and nothing else	→	Picks are wrong often enough that customers now check every pallet	✗ no	discuss
Picks are wrong often enough that customers now check every pallet	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
Overtime is the normal way we finish a week, not the exception	→	Two products with almost the same code sit on the same rack	✗ no	discuss
Small errors are hidden to avoid blame	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
Small errors are hidden to avoid blame	→	Peak-hour load exceeds planned capacity	✗ no	discuss
Two products with almost the same code sit on the same rack	→	A short pick is recorded as complete so the line keeps moving	✗ no	discuss
New staff copy bad habits from old hands	→	Overtime is the normal way we finish a week, not the exception	✗ no	discuss
Two products with almost the same code sit on the same rack	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
Supervisors are measured on dispatch time and nothing else	→	Peak-hour load exceeds planned capacity	✗ no	discuss
Two products with almost the same code sit on the same rack	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
Peak-hour load exceeds planned capacity	→	New staff copy bad habits from old hands	✗ no	discuss
Peak-hour load exceeds planned capacity	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
Small errors are hidden to avoid blame	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
New staff copy bad habits from old hands	→	Two products with almost the same code sit on the same rack	✗ no	discuss
Two products with almost the same code sit on the same rack	→	Small errors are hidden to avoid blame	✗ no	discuss
Picks are wrong often enough that customers now check every pallet	→	Two products with almost the same code sit on the same rack	✗ no	discuss
Overtime is the normal way we finish a week, not the exception	→	Supervisors are measured on dispatch time and nothing else	✗ no	discuss
A short pick is recorded as complete so the line keeps moving	→	We measure errors per order, so a bigger order hides more mistakes	✗ no	discuss
Small errors are hidden to avoid blame	→	New staff copy bad habits from old hands	✗ no	discuss
Overtime is the normal way we finish a week, not the exception	→	Peak-hour load exceeds planned capacity	✗ no	discuss
A short pick is recorded as complete so the line keeps moving	→	New staff copy bad habits from old hands	✗ no	discuss
We measure errors per order, so a bigger order hides more mistakes	→	Small errors are hidden to avoid blame	✗ no	discuss
Overtime is the normal way we finish a week, not the exception	→	New staff copy bad habits from old hands	✗ no	discuss
Picks are wrong often enough that customers now check every pallet	→	New staff copy bad habits from old hands	✗ no	discuss
Peak-hour load exceeds planned capacity	→	Small errors are hidden to avoid blame	✗ no	discuss