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Every answer is a fact: a count, a percentage, or a choice describing what actually happens. The model computes your levels from the facts — you never rate yourself. Answer for the ordinary hard month, not the best one. Basics below are context and denominators — never scored.
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Does a documented readiness sign-off happen before processing starts? *
There is no readiness check
An informal check - depends who is running
A documented checklist - most runs
A documented sign-off - every run
A documented sign-off every run - processing cannot start without it
In a normal cycle, how many trial runs happen before the live run, and does a reviewed variance register gate it? *
No trial run
One trial - register not always reviewed
One trial - register reviewed and signed
Two trials with reviewed registers
Two or more - signed register gates the live run
How many of these reconciliations run every cycle: headcount-in vs payslips-out; gross vs prior run; register vs bank file; register vs GL? *
Number 0-4
How many separate people must review and sign payroll results before payment is released, and how formal is it? *
One person
Two - informally
Two - formally defined
Three including independent QA
Three or more including statutory review - system-enforced
During processing, how are unusual results caught? *
By eye - if at all
Spot checks on known trouble spots
Automatic checks on some pay elements
Automatic checks on most pay elements
Automatic checks across the run - flagged with reasons and owners
Can someone who edits payroll data also release the bank file? *
Yes
Yes - but it would be noticed later
No - by policy
No - blocked by the system
No - system-blocked plus dual bank approval
Within how many working days of pay day is the register-to-bank-to-GL reconciliation completed and signed? *
Not done
Not every month
By month-end
Within 1-3 days
Same day
When was payroll system access last reviewed, and what did the review cover? *
Never or cannot say
Over a year ago
Within the year - user list only
Within the quarter - users and roles
Quarterly - roles and segregation conflicts with removals evidenced
How does pay data move to third parties (bank, bureau, auditors) today? *
Unencrypted email attachments
Password-protected files by email
Mostly secure channels - some email
Secure channels only
Secure channels only - with access logging and retention rules
How do payroll inputs mostly arrive? *
Almost everything arrives by email or spreadsheet
Mostly files and spreadsheets - some interfaces
About half through system interfaces
Mostly through interfaces - the rest on standard templates
Nearly everything system-to-system - validated on entry
How often do master-data problems (bank details, IDs, eligibility) delay a run or force corrections? *
Almost every run
Most months
A few times a year
Rarely - once a year or less
Practically never - master data is validated before it reaches payroll
When people join or leave, does their first or last pay land right without chasing? *
Usually needs chasing and fixing
Often needs chasing
About half go straight through
Mostly right without chasing
Almost always right - exceptions are rare and logged
How many of these input types are validated automatically at entry: headcount changes; compensation changes; bank details; one-off payments; attendance? *
Number 0-5
When payroll catches an input error, what usually happens? *
Payroll patches it and moves on
Payroll patches it - the source hears about the big ones
About half get fixed back at the source
Most get fixed at the source (HR, time, finance)
Source fixes are the rule - repeat errors are tracked to zero
How many of your core systems (HR, time and attendance, finance or GL, banking) exchange payroll data automatically with the payroll system? *
Number 0-4
Does the payroll cut-off hold? *
There is no real cut-off - inputs arrive until pay day
A cut-off exists but usually slips
Holds most months
Holds except for rare approved exceptions
Holds every run - late items wait for a governed off-cycle
Which payroll run types (regular, off-cycle, exit, bonus) run on your main platform rather than outside it? *
Most run outside the platform
Regular runs only
Regular plus some other types
All types except rare exceptions
All types - under the same controls
How many off-cycle or correction runs did you need last quarter, beyond the planned calendar? *
Number of runs
Does everyone get paid on the promised day? *
Pay day slips or misses happen most months
Some employees miss pay day a few times a year
Occasional individual misses - promptly fixed
No one has missed pay day in the last year
No one misses pay day - and we can evidence it run by run
How are payslips and payroll outputs delivered to employees? *
Printed or emailed manually
Emailed from the payroll mailbox
Self-service portal for most - manual for some
Self-service for all - secured
Self-service for all - secured with delivery tracked and access logged
How heavy is the payroll query load after pay day? *
The days after pay day are a helpdesk
A steady stream all month
A manageable bump after pay day
Light - queries are tracked and falling
Minimal - self-service answers most and the rest are tracked to SLA
Is payroll accuracy measured with a defined denominator, and what was last quarter's error rate? *
Not measured
Estimated informally
Measured - worse than 1 error per 100 payslips
Measured - between 1 per 100 and 1 per 1000
Measured - better than 1 per 1000
Is on-time payment measured against a defined SLA, and what was it last quarter? *
Not tracked
Tracked informally
Tracked - below 98% on time
Tracked - 98 to 99.5%
Tracked - above 99.5%
Is completeness checked each run (everyone due pay is paid; every input is processed)? *
No
Only when something goes wrong
Headcount check each run
Headcount and input completeness each run
Both - reported against target monthly
What was your first-time-right rate last quarter (runs approved with no rework after first submission)? *
Not measured
Estimated informally
Measured - below 75%
Measured - 75 to 90%
Measured - above 90%
What was the median time to resolve an employee payroll query last quarter? *
Not tracked
Tracked informally
Over 5 working days
2 to 5 working days
Under 2 working days - tracked against an SLA
How many of these exist as regular reports: cost run-over-run; error and rework trend; off-cycle trend; input quality by source; query volumes? *
Number 0-5
Between inputs arriving and the engine running, how much manual handling happens? *
Everything is re-keyed or massaged in spreadsheets
Heavy - many touchpoints every run
A handful of known touchpoints
One or two - documented
None - inputs flow straight through and exceptions are logged
How often does completing payroll take evenings or weekends? *
Every run
Most runs
A few times a year
Rarely - year-end at most
Never - the run fits the working day
When something needs correcting mid-run, what happens? *
Someone edits the data directly
Direct edits - usually mentioned to someone
Logged informally and approved after the fact
Logged and approved before the change - mostly
Every correction: logged, approved, rerun - no exceptions
When an error is found, what happens after the fix? *
We fix the payslip and move on
The big ones get discussed
Root cause recorded for major errors
Root cause recorded for most - fixes tracked
Every error: root cause, preventive fix, trend reviewed monthly
If your payroll lead resigned today, how much of your core process documentation is current (updated within 12 months)? *
No usable documentation
A few documents - mostly stale
About half current
Most current - reviewed annually
All current - versioned and reviewed on schedule
How often does a named owner review payroll performance with the team (and the provider, if any)? *
No such review
Only when something breaks
Quarterly
Monthly
Monthly - with actions tracked to closure
Is there a written escalation path for payroll incidents, and when was it last used or tested? *
No
Informal - people know who to call
Written - never tested
Written - used within the last year
Written - tested with post-incident reviews
How is payroll performance by your provider or internal team evidenced each month? *
No regular reporting
Verbal updates only
Reports received but not questioned
Reports reviewed against SLA with actions agreed
Evidenced pack reviewed - actions tracked and consequences applied
If pay failed for part of your workforce tomorrow, is there one named owner for the incident end to end? *
No clear owner
Depends on where it fails
Named owner by policy - never tested
Named owner - tested in the last year
Named owner with cross-functional authority - rehearsed and reviewed
Of the statutory payments and filings due in the last 12 months, how many were on time and evidenced? *
Cannot say
Some were late
All on time - evidence scattered
All on time - evidence filed
All on time - evidenced with sign-off before submission
In how many of the countries you run payroll does a named person, internal or provider-side, own statutory compliance end to end? *
No named owners
Some countries only
All countries - via provider with no verification
All countries - verified annually
All countries - verified with evidence every cycle
After each run, is statutory withholding independently validated before filing? *
No
Spot checks only
Every run - manually
Every run - tool-assisted
Every run - tool-assisted with exceptions logged and cleared
Of the regulatory changes affecting payroll in the last 12 months, how many were implemented and verified before their effective date? *
Cannot say
Some missed their date
All landed - some verified late
All landed on time
All on time - via a tracked pipeline with one owner
In a normal run, how many employees process straight through with no manual touch? *
Hard to say - most need some handling
Fewer than half
Most - maybe three in four
Nearly all - only defined exceptions are touched
All but a logged exception list - and we know the exact rate
Where do your pay calculations actually live? *
Key calculations live in spreadsheets
Several side calculations every run
A few known side calculations
One or two edge cases outside the engine
Everything computes in the engine - no side calculations
Where is AI in your payroll operation today? *
Nowhere - and the foundations are weak
Exploring - foundations still weak
Foundations building - no AI yet
Piloting - human-reviewed and auditable
In production - governed, explainable, auditable
If an automated or AI-driven step mis-paid someone tomorrow, could you detect it, explain it, and reverse it? *
Could not detect it
It would surface when employees complain
Detected after pay day - explained with effort
Detected before pay day - explainable
Detected - explained and reversed, rehearsed and logged
How much of gross-to-net (proration, arrears, statutory) does the engine compute by rule? *
Much of it is worked out manually
The engine does the basics - people do the rest
The engine does most - regular manual workings remain
The engine does nearly all - rare manual workings
All of it - by rule, every run
How does the team review a run before approving it? *
The whole register - line by line
The whole register - sampled
Flagged exceptions plus a register scan
Flagged exceptions only - most runs
Exceptions only every run - the flags are trusted and tested
How does payroll improve? *
It doesn't - there is no time
Fixes happen after incidents
A few improvements a year - informally
A steady pipeline - some measured
A managed pipeline - each improvement measured for effect
Is there a defined payroll close each period, ending in a signed pack (reconciliations, exceptions, MIS)? *
No defined close
Close happens - nothing signed
Signed close most months
Signed close every month
Signed close every month - pack archived audit-ready
How did your last year-end close actually go? *
Major rework or restatements
Late - heavy manual effort
On time - heavy manual effort
On time - mostly routine
A non-event - reconciled all year and closed on schedule
If an auditor picked one payslip from last quarter, could you show every change, approval and calculation behind it? *
No
Partially - with real effort
Yes - with a day's notice
Yes - same day
Yes - on demand, system-logged end to end
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