What this is
What is a yield analysis record?
What is a yield analysis record?
A yield analysis record compares the material that went into a production run against the product that came out of it, accounts for the difference, and rates the result against a target. It splits the loss into what was expected (trim, evaporation, normal give) and what was not, and routes anything unexplained to investigation.
What is the difference between expected process loss and unexplained variance?
Expected process loss is the loss a competent operator would predict before the run starts: trim on a cutting line, moisture loss on a smoker, normal give on a filler. Unexplained variance is what is left after that known figure is subtracted. Only the second number is a signal that something needs investigating.
Why does a yield record need two signatures?
Because the number is used two ways: production uses it to manage the line and cost of loss, and quality uses it as an early indicator of a process, measurement or product-integrity problem. A yield record signed only by production tends to explain variance away; one signed only by quality tends to miss the operational context for it.
Scope
When is a yield analysis record required?
A yield analysis record is one step in a larger quality programme. Using it to do the job of the templates around it produces a record nobody can report on, and a process problem that never gets its own investigation.
Use this template when
- A batch, shift, day or week of production has completed and the mass balance needs reconciling
- A new yield record is needed; each one gets its own ID in the form YLD-2026-0000
- You are running the HACCP and Food Safety programme and yield is one of its process-control steps
- A linked batch record exists and needs its yield accounted for separately from its process parameters
- Unexplained loss needs a first-pass rating before deciding whether it warrants a full investigation
Do not use it for
- Control Plan, which sets out what is measured on a process, how often, by what method, and what to do when a measurement goes out of limits.
- Statistical Process Control Log, which records measurements over time so process variation can be seen and acted on before product actually fails.
- Process Capability Study, which measures whether a process can reliably hold its specification, using data gathered from a stable run.
- Batch Record, which is the full production record for the batch; the yield record explains the batch's mass balance, it does not replace its process record.
- Anything outside KnowQuality, since a yield problem traced to equipment, scheduling or material specification belongs in the workspace that owns that cause.
Compliance mapping
Which ISO 9001 cl.9.1.3 requirements does this satisfy?
Yield analysis is not itself a named clause in most standards; it satisfies the general requirement to analyse process performance data and act on it, which is where its defensibility actually sits.
| Clause | Requirement | Where it lands |
|---|---|---|
| ISO 9001 cl.9.1.3 | Analysis and evaluation of data from monitoring and measurement, including the performance of processes | Yield |
| ISO 9001 cl.8.5.1 | Production carried out under controlled conditions, including monitoring and measurement at appropriate stages | Mass balance |
| ISO 9001 cl.7.1.5 | Monitoring and measuring resources suitable for the activity and maintained fit for purpose | Mass balance |
| ISO 9001 cl.8.7 | Identification and control of outputs that do not conform to requirements | Investigation |
| ISO 9001 cl.10.2 | Reaction to nonconformity, evaluation of the need for action to eliminate the cause | Investigation |
| ISO 9001 cl.9.1.1 | Determining what needs to be monitored and measured, and the methods for doing so | Header |
| ISO 9001 cl.7.5.3 | Control of documented information, retained as evidence of conformity | Related records |
What it does not cover
- Control Plan, which specifies the measurement, frequency and reaction plan the yield figure is being checked against.
- Statistical Process Control Log, which trends measurements over time; a single yield record cannot show whether this shift's variance is drift or noise.
- Process Capability Study, which establishes whether the process can hold the target yield at all, from data known to be stable.
- Batch Record, which carries the process parameters, ingredients and steps the yield figure explains the outcome of.
- Root cause investigation (RCA), the actual analysis once unexplained variance crosses the threshold; the yield record raises the flag, it does not investigate.
Global
Yield Analysis Record requirements by country
ISO 9001 is a certification standard, not law, so what differs across borders is less the duty to reconcile yield and more the regulatory and audit context that makes the record matter.
FSMA Preventive Controls for Human Food (21 CFR Part 117)
Facilities operating under a food safety plan must keep monitoring and verification records showing process controls are working.
Unexplained yield loss is the kind of verification signal an FSMA-trained auditor expects to see actioned, not just filed.
BRCGS Food Safety Standard, traceability and quantity-control requirements
Sites certificated to BRCGS commonly must demonstrate mass-balance reconciliation as part of traceability exercises.
A yield record that cannot reconcile inputs to outputs will not support a traceability mass-balance test at audit.
ISO 9001:2015 cl.9.1.3
Certification requires the organisation to analyse and evaluate performance data and show the analysis is used.
Auditors look for evidence the yield trend drove a decision, not for the existence of the spreadsheet.
How to complete it
How to complete a yield analysis record, step by step
The template will total the mass balance for you. It will not decide which residual matters, and that decision is where a yield record earns its keep.
Raw material, packaging and rework in have to be weighed against finished product, rework and scrap out before the residual means anything. A record comparing only raw material to finished product produces an unexplained variance that is really just an incomplete sum.
Trim, evaporation and normal give are known losses, not findings. Score the unexplained variance after that figure is removed, on a basis specific to the product and line, so the trigger is the residual, not the whole loss.
Investigation Required should follow a defined variance threshold agreed in advance, not a judgement call made under pressure to close the shift. A threshold set after the fact tends to move to fit whatever number came out.
Giveaway on a filler and genuine process loss are different mechanisms with different fixes. Use the linked weight check to establish giveaway before attributing the residual to the process.
What auditors find
Most common yield analysis record findings
Yield records are unusual in that the total almost always balances on paper. The findings concern whether the sorting behind that total is real.
| Finding | Clause | What fixes it |
|---|---|---|
| Unexplained variance calculated without first subtracting expected process loss, so the score conflates a known constant with a genuine signal. | ISO 9001 cl.9.1.3 | Define expected process loss per product and line, and subtract it before the variance is scored. |
| Overfill contribution rated without reference to an actual weight check, effectively guessing whether giveaway or process loss is responsible. | ISO 9001 cl.8.5.1 | Link the record to its weight check and use that result before attributing loss to the process. |
| Investigation Required marked No against a variance exceeding the agreed threshold, with no rationale recorded. | ISO 9001 cl.8.7 | Set a defined threshold that forces the investigation flag, with a documented reason for any exception. |
| Action raised with no CAPA reference or owner recorded, so the corrective action exists in name only. | ISO 9001 cl.10.2 | Require the CAPA ID and an owner at the point the action is raised. |
| Batch Record ID left blank, so the yield figure cannot be traced back to the process that produced it. | ISO 9001 cl.7.5.3 | Make the linked Batch Record ID mandatory before the yield record is marked complete. |
| Mass balance inputs recorded on inconsistent bases across lines, for example kilograms on one and units on another. | ISO 9001 cl.7.1.5 | Standardise the unit of measure and rounding convention for every field, per product line. |
Case in point
Case in point: the yield record that balanced on paper
A dairy site ran a yoghurt line where the shift yield record showed 96 to 97 percent for months, consistently within tolerance and reviewed by both production and quality. The expected process loss figure on file was an old estimate carried over from the previous product on that line, never updated when the recipe changed. Nobody questioned it, because the totals always balanced.
A customer complaint about short-filled pots led to a weight check that found systematic underfill, masked in the yield record because the 'missing' product had been absorbed into an expected-loss figure nobody had recalculated. The fix was tying expected process loss to the specific product and recipe rather than to the line in general, so a recipe change forces the baseline to reset instead of inheriting a stale one.
The template
The template, field by field
The form exactly as it installs. Every field, option, score and conditional rule is editable, and the links to other templates come with it.
5 sections
- Reference
- QUA-062
- Archetype
- Record
- Record ID
- YLD-2026-000
- Scoring
- Yield percent
- Direction
- High is good
- Singleton
- No
- Basis
- ISO 9001 cl.9.1.3
- Links
- Links Batch Record
- Tags
- Process, Cost
- Sections
- 5
- Fields
- 44
- Follow up fields
- 4
- Repeating sections
- 0
- Links out
- 6
Header
14 fieldsRecord ID*
Auto sequence. Format YLD-2026-0000.
The record's own ID. Other templates point at this value.
Status*
Drives who this goes to next.
- Planned2 pts
- In progress2 pts
- Complete3 pts
- Deferred0 pts
- Open0 pts
- Closed3 pts
- Overdue0 pts
Date and Time*
Raised By*
Site*
Site ID*
Format SITE-000.
Links to FDN-001 Site ID
Line*
Shift*
Line Lead
Batch Number*
Numeric key joining to your ERP batch record.
Links to External system reference
Product*
Production Date*
Period Covered*
Batch, shift, day or week.
Batch Record ID
Links to QUA-061 Batch Record ID
Mass balance
9 fieldsRaw Material In*
Packaging In
Rework In
Finished Product Out*
Rework Out
Scrap Out
Expected Process Loss
Trim, evaporation and normal give. Known losses are not unexplained losses.
Unexplained Variance*
Variance Percent*
Yield
5 fieldsActual Yield Percent*
Target Yield Percent*
Variance From Target*
Yield Within Tolerance*
- Yes3 pts
- Marginal1 pt
- No0 pts
Trend Versus Last Period*
- Improving3 pts
- Stable2 pts
- Worsening0 pts
Related records
1 fieldRCA ID
The investigation into the deviation.
Links to FDN-013 RCA ID
Investigation
15 fieldsYield Loss Is An Early Signal
Unexplained loss usually means a process problem, a measurement problem or product going somewhere it should not. It shows up in yield before it shows up as a defect.
Investigation Required*
- No3 pts
- Yes0 pts
Likely Cause
Trim, giveaway, scrap, spillage, equipment setting, measurement error or unaccounted.
Overfill Contributing*
- No3 pts
- Partly1 pt
- Yes0 pts
Weight Check ID
Links to QUA-017 Check ID
Scrap Record ID
Links to QUA-005 Scrap ID
Cost Of Loss
Action Required*
Raise the action record, then enter its reference here.
- No2 pts
- Yes0 pts
Priority
- High0 pts
- Medium1 pt
- Low3 pts
CAPA ID
Format CAPA-2026-00000.
Links to FDN-014 CAPA ID
Action Owner
Production*
Signature*
Quality*
Second Signature*
QUA-062 · record IDs look like YLD-2026-000 · Links Batch Record
Open in KnowellaRun it with agents
From a document you fill in to a programme that runs itself
The record reconciles a single shift. What fails is the accumulation: a stale expected-loss baseline nobody revisits, and a recurring variance re-explained every shift instead of investigated once.
Holds the yield record against its batch and weight-check evidence, and flags when an expected-loss baseline has not been reviewed since the recipe or line last changed.
Watches for unexplained variance recurring across shifts on the same line and raises it as a pattern rather than letting each record close it independently.
Takes equipment-setting causes out of the yield record and into a work order, so a mechanical cause of loss gets a fix rather than a repeated note.
Connects cost-of-loss figures to production planning, so a chronic yield gap shows up in scheduling, not only in a quality file.
This template lives in KnowQuality — quality and food safety. HACCP, nonconformance, traceability, laboratory and customer complaints.
Meet KnowQuality→Glossary
Yield Analysis Record definitions and key terms
- Mass balance
- The reconciliation of everything that entered a production run (raw material, packaging, rework) against everything that left it (finished product, rework, scrap), used to establish the total loss.
- Expected process loss
- The loss a process is known to produce under normal operation: trim, evaporation, normal give. A known quantity, not a finding.
- Unexplained variance
- The loss remaining once expected process loss has been subtracted from the total; the figure that should actually trigger investigation.
- Yield percent
- Finished product out expressed as a proportion of material in, rated against a target rather than against zero loss.
- Overfill / giveaway
- Product given away above the declared fill weight, which reduces effective yield without representing a process loss in the mass-balance sense.
FAQ
Frequently asked questions about yield analysis record
Should expected process loss and unexplained variance be scored as one figure?+
No. Expected process loss is a known, stable quantity that says nothing about whether the run went well. Scoring it with the genuinely unexplained residual buries the number that should trigger investigation.
What counts as a good yield percentage?+
Whatever the process can reliably hold, established from stable-run data, not zero loss. A line with a well-characterised 4 percent loss rate that holds steady is performing correctly; the record exists to catch drift from that baseline.
Does every yield record need an investigation?+
No. Investigation should follow a defined variance threshold set in advance for the product and line. Triggering one on every shift with any variance makes the flag meaningless; never triggering one on a real outlier makes the record decorative.
How does overfill relate to yield loss?+
They are different mechanisms. Overfill gives product away above the declared weight without a process loss occurring; genuine process loss leaves the mass balance as trim, scrap or unaccounted variance. Rating both under one factor prevents either from being fixed correctly.
Who should complete a yield analysis record?+
Production and quality together. Production supplies the operational context for why a number looks the way it does; quality supplies the discipline to treat an unexplained residual as a signal rather than explain it away.
What should happen when unexplained variance keeps recurring on the same line?+
The recurring pattern itself is the finding, and it belongs in a proper investigation and, where confirmed, a CAPA, rather than being re-raised and re-closed on each shift's record without ever being traced to a cause.
Keep going
Related templates and programmes
Industries this is written for
Programmes this belongs to
Used together in HACCP and Food Safety
Unannounced Audit Readiness Check
Checks whether the site would pass an audit arriving today, covering records, standards and area condition
Product Nonconformance Report
Records product that does not meet specification
Hold and Release Record
Places suspect product on hold and records the decision to release, rework or scrap it
HACCP Plan
The hazard analysis and critical control point plan for a product or process
HACCP Verification Record
Confirms the HACCP plan is being followed and still works
CCP Monitoring Log
Records readings at a critical control point, such as cook temperature, chill time or metal detection
More in Process Control
Control Plan
Sets out what is measured on a process, how often, by what method and what to do when it goes out of limits
Statistical Process Control Log
Records measurements over time so process variation can be seen and acted on before product fails
Process Capability Study
Measures whether a process can reliably hold its specification, using data from a stable run
Setup Approval Record
Confirms a new setup is correct and approved before the run continues past the first pieces
Batch Record
Records everything that happened during the production of one batch, including materials, settings, checks and people
Shift Handover Record
Passes on what the incoming shift needs to know, including running issues, holds and changes
Written and reviewed by
Siddarth Singh
Founder & Chief Executive Officer, Knowella
Certified Safety Professional and industrial and systems engineer with more than a decade inside food supply chain, freight and manufacturing operations. This page was written against the current text of the standards it cites, not against secondary summaries of them.
- Certified Safety Professional (CSP), Board of Certified Safety Professionals
- MBA, University of Chicago Booth School of Business
- MS and BS, The Ohio State University, Industrial and Systems Engineering
- Six Sigma Black Belt
Sources and last review. Reviewed 16 August 2026 against:
- ISO 9001:2015 clauses 9.1.3, 8.5.1, 8.7 and 10.2
- FSMA Preventive Controls for Human Food, 21 CFR Part 117 (US)
- BRCGS Food Safety Standard, traceability and quantity-control requirements
- ISO 9001:2015 clause 7.1.5, monitoring and measuring resources
This page is general guidance, not legal advice. Confirm requirements with your jurisdiction’s regulator.