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Methodology for an editing quality management system for publishing houses, journals, and editing companies.
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Editing Quality Management
byVeena Venkateshwaran, BMM, ELS
Rucha Kurtkoti, MSc, ELSJaya Ramchandani, MSc
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Confidentiality Disclaimer
All the information disclosed in this presentation whether written or oral is the
intellectual property of Veena Venkateshwaran, Rucha Kurtkoti, and Jaya Ramchandani.
You should not use, copy or otherwise replicate the Confidential Information for any other
purpose
Whatsoever unless discussed with the owners. The concept proposed herein is modeled
on an existing translation quality management system.
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Introduction
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
IMPO
RTA
NC
E O
F A Q
MS
A way to objectively quantify a process
A means to reduce the cost of poor quality
A means to increase customer satisfaction
An opportunity for benchmarking
A competitive advantage
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
QC
VS
. QA
Quality control (QC) is quality verification
over the whole text (e.g., reviewing).
Quality assurance (QA) involves sampling
techniques and is the control of quality over a
statistically significant sample of the whole
text (e.g., quality measurement).
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
TH
E B
AS
IS O
F A Q
A S
YS
TEM
Repeatable (two assessments of the same
sample yield similar results)
Reproducible (different evaluators should
arrive at a similar assessment for a single
edit)
Objective (devoid of subjective bias)
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Our methodology
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Key tenets of our QMS
Standard for journal publication
Level of original English / Opportunity for error
Client expectations vis-à-vis service definition
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Components of our QMS
Error categories based on service definition
QA form / QA checklists
Sampling techniques/Statistical methods
Standards for quality auditing
Editing Quality Index (EQI)
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
ER
RO
R C
ATEG
OR
IES
It is very important to have a service
definition in place before looking to categorize
errors. We deal with errors only when they
violate agreed upon service definitions
whether implicit or explicit.
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
ER
RO
R C
ATEG
OR
IES
Error categorization involves
Selecting small and broad categories
Providing “clear” definitions
Setting tolerance limits (min/max of errors
per x words)
Assigning a weight (critical/major/minor)
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
QA
FOR
M/Q
A C
HEC
KLIS
TS
We would like to advocate not the use of
“universal” checklists, but of checklists
specifically tailored to each service and / or
step in the process.
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
QA
FOR
M/Q
A C
HEC
KLIS
TS
For example,
Checklist to evaluate editing company
Checklist to evaluate edited document
Checklist to evaluate first editor
Checklist to evaluate reviewer / QC
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
QA
FOR
M/Q
A C
HEC
KLIS
TS
Sample checklists
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
SA
MPLIN
G T
EC
HN
IQU
ES
Sampling should be systematic and
representative of the assignments received
by the organization.
5% of the word count completed should be
sampled, with a minimum of, for example,
2500 words per editor.
Over a six-month period, we will ensure that
the sample is truly representative of the
work done by the company.Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
STA
ND
AR
DS
FOR
QU
ALIT
Y
AU
DIT
ING
All auditors will be trained and calibrated
with the tool
Tolerance limits for calibration will be set
Calibration will take place every six
months.
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
ED
ITIN
G Q
UA
LITY IN
DEX
Quality can be measured using various methodologies
Ratio of incorrect/overlooked errors to
correct changes
Defects / 1000 words or defects per page
(250 words), weighted by different
parameters
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
ED
ITIN
G Q
UA
LITY IN
DEX
What we do:
Count errors based on checklist
Weight the errors by type (minor, major,
critical) to arrive at a quality score
Weight the quality score by level of original
English / opportunity for edit to arrive at the
total error points
Convert the total error points to an editing
quality index (EQI).
0% (worst) 100% (best)
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
ED
ITIN
G Q
UA
LITY IN
DEX
Minor Errors
Major Errors
Critical
Errors
Quality
Score
Opportunity for Edit
Weighted
Error Points
Word count
Error Densi
tyEQI
1 1 0 3 5 1.5 2243 1496 93%
4 3 1 13 4 9.75 2441 251 71%
1 5 1 14 2 17.5 2120 122 61%
9 12 5 48 5 24 2250 94 58%
10 5 2 26 3 26 2406 93 58%
5 15 3 44 1 66 2173 33 45%
22 13 3 57 1 85.5 2113 25 41%
Example of EQI calculation
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
ED
ITIN
G Q
UA
LITY IN
DEX
Depending on one’s purpose, there may be more than
a single EQI. For example, an EQI may be developed for
external purposes (to standardize the work obtained
from outsourcing); Another EQI may be primarily for
internal purposes (to measure the quality of a given
special process). And benchmarks will be set
accordingly.
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Uses of the EQI
Determining company editing quality
Grading of editors
Process recommendations
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
DE
TER
MIN
ING
TE
AM
/ CO
MPA
NY
QU
ALIT
Y
We apply a sum product by the EQI of the editor
vis-à-vis the volume completed by him /her to
arrive at the company’s quality.
Service A Service B
Editor A = 10% volume, 80% EQIEditor A = 30% volume, 80%
EQI
Editor B = 30% volume, 60% EQIEditor B = 40% volume, 90%
EQI
Editor C = 60% volume, 75% EQIEditor C = 30% volume, 75%
EQI
Total Service A EQI = 71% Total Service B EQI = 82.5%
Service A volume: 80%Service B volume: 20%
Total Company EQI = 73.3%
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
GR
AD
ING
OF E
DIT
OR
S
The EQI can be used to grade editors. In order to
grade the editing, we need a scale. An example
scale is as follows. As shown in the scale, if the
EQI is from 100 to 90, then the editor grade
would be 5.
EQI Range Grade
100-90 Grade A editor
90-70 Grade B editor
70-50 Grade C editor
<50 Grade D editor
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
PR
OC
ES
S R
EC
OM
MEN
DATIO
NS
By analyzing the EQI at each stage of the
editing process, process
recommendations can be made to
improve quality and efficiency.
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Fitting our methodology to your organization
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
PR
OC
ES
S FLO
W
Ongoing Consultation
Operational handover of the system
Calibrating + Training QAs
Benchmarking / Setting Quality Standards
‘Field test’ draft on sample audience
Prepare Checklists & Sampling Procedures
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
CO
MPO
NEN
T S
OF T
HE E
QM
S
TO
OL
Sampling Quality Auditing
AnalysisReports
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
EX
AM
PLE
S O
F SYS
TE
M
OU
TPU
T
Detailed reports on individual editor quality / team
quality / total company quality on a monthly basis
Quarterly analysis of QA scores, with alerts for
recommending change in grade if any, or in
removing/upgrading an editor/freelancer, etc.
Feedback report to individual editors on all quality
checked (QA) jobs with comments
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Summary
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Our EQMS Tool is…
A way to objectively quantify a process: Means to analyze value added at each stage of
your editing process
A means to reduce the cost of poor quality: Continual improvement of editor quality
and weaning out poor editors from your system. Also, accountability from the editor.
A means to increase customer satisfaction: Accurate understanding and adherence to
service definition
An opportunity for benchmarking: To confidently state that all manuscripts will pass an
EQI of, for example, 90%, suitable for international publication
A competitive advantage: In an unstructured market, be a first mover to set up an
exhaustive quality management system.
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani
Thank you!For further information contact
[email protected]://siriusinteractive.co.in
Copyright 2009-2010 Veena Venkateshwaran, Rucha Kurtkoti, Jaya Ramchandani