Project Storyboard Template - DMAIC

7/26/2019 Project Storyboard Template - DMAIC

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Solutions. People.Innovation.

1

Lean Six SigmaStoryboard

[Content Set][Covering Year]


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2

Lean Six Sigma Program

[Lean Six Sigma Project Title]

an Six Sigma DMAIC Green Belt Projecttent Set : [Business Unit]en Belt :[Name o Green Belt]


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3

D!"IN!

P#AS!


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!"e BusinessDiscuss the Content Set of the Lean Six Sigma Project

What is the product of the Content Set?

Who are the Customers?

What is its value to the Customers?

Discuss important terminologies.

If the Lean Six Sigma Project has been scoped

Describe the scope and its relevance Subcategor! of the Content Set "ar#et Set Particular $rror %!pe Particular S&

'ou ma! include screen shots to provide more clarit! on the business !ou are describing.

Ta$e Note%

!"e intention o# $es%ribing t"e Business is to &a'e t"e sta'e"olders a(are o# t"e produ%tyou are trying to i&prove. !"e business s"ould be (ell)understood even by parties e*ternalo# your %ontent set. !"is is t"e #unda&ental layer o# your storyboard+ t"ere#ore+ &a'ingt"is %lear (ill provide good dire%tion #or t"e pro,e%t &ost espe%ially ("en (e start de-ningour Y.


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Proble& and GoalState&ents

State the Problem Statement.

Include Initial %rend of Data (here the Problem Statement is obtained.

Include short narrative to further understand the problem.

'ou ma! include screen shot of the product if necessar!.

Discuss terminologies relative to the problem.

State the )oal Statement

Ta$e Note%

Co&ing #ro& t"e Business $es%ription+ no( you are dis%ussing t"e pain you aree*perien%ing. Your goal "ere is to let t"e sta'e"olders understand t"e pain you (ould li'eto solve. Please dis%uss t"e nature o# t"e proble& and N&T its i&pa%t/bene-t+ 0Caddressed or ot"er details t"at (ill strengt"en its business %ase. It (ill %o&e later in t"e

storyboard.


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Pro,e%t I&pa%t

*uild the reasons+cases (h! !ou (ould li#e to solve the project. %his should ans(er the,uestion -W/% IS %$ P&01$C%2S W0&%?3

'ou ma! divide this portion into4 "onetar! and 5on6monetar! *ene7ts "onetar! ma! bedivided to ard and Soft Savings

ard 8 direct cost implication of the project

Soft 8 opportunit! gain of the project

9e.g. time reduction but not necessaril! reducing number of sta:;


7/52Solutions. People.Innovation.

0oi%e o# t"e Custo&er

INTERNAL or EXTERNAL

Cite S&s or feedbac#s coming from the customers that pertain to the project !ou are tr!ingto solve. State them in verbatim and provide the source of the =0C.

If there is none discuss the pain !our customer 9external or internal; is experiencingbecause of this project. *uild on the severit! of this pain and (h! this is important to !our

customer.



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=

SIPC $iagra&>eep !our SIP0C diagram macro in scope. %his (ill just describe (hich processsteps (ill contribute to !our '. Coming from the (hole stream !ou ma! alsospecif! (hich process (il or (ill not inuence !our ' this is critical (hen !ou startidentif!ing !our @2s. %his portion is not limited to SIP0C if !our process has cross6functionalities or large in scope. 'ou ma! start (ith macro o(chart and detaildo(n !our target process for the project.

Process CustomersSuppliers Input Output

Cou'on(e'ort)ata

extracte)

Datasco'e"I )ata

extracte)

Bangalore Quality

Team

Fixed Income

Production

Datascope

Fixed Incomedata

Coupon reset

Report data

Manually

created data

from metric

process

alidatedMetric Results

FI ProductionManagers

Quality

Managers

Senior Data

Managers

MetricCalculate)

Metric (esults

'u*lis+e)

Metric(esults

,ali)ate)

"inal metric

(esults'ro)uce)

Metric

Calculation

Process

In!Scope Process Steps for "ccuracy of Metrics Calculation



1>

Pro,e%t C"arter

Project Title- Im'ro.e Pro)ucti.it/ (ate o LN (is$ &CC #ealt+ Project

Project Lea)erName-?"onie 6. Bo"ulanoBU 0 Location- Content Solutions @ Auality /CIS!mail-,"onie.bo"ulanospi)global.%o&

Project Team Mem*ers- S"er(in 9o&ero Sonny Gaviola

S'onsor1s2- 11.

Business Case-

,oice o t+e CustomerFe are (or'ing to(ards %%Dealt" being a Si* Sig&ainitiative t"is year. !"e pro,e%t (ill be spear"eaded by?"onie Bo"ulano and is ai&ed at i&proving t"eprodu%tivity in order to &eet t"e target o# 1 re%ordsper "our. In line (it" t"is+ 'indly %onsolidate t"eprodu%tivity data o# t"e last &ont"s.

Monetar/ Bene4t

7nnual Savings o# 567869:;6 P#P < =756;:=; USD

Assum'tions Ma)e-

Produ%tivity speedH J o# re%ords

J ti&e %onsu&ed in produ%ing a re%ord

(is$ to Success-Sudden in%rease in volu&eK 7ttrition

Insert ProjectC+arter
mailto:[email protected]:[email protected]



11

Pro,e%t C"arter

Project Title- Im'ro.e Pro)ucti.it/ (ate o LN (is$ &CC #ealt+ Project

In>Sco'e5 9is' CC Dealt" Pro,e%t

&ut>o>Sco'e-t"er 5 Pro,e%ts

Signatories- 5i%olai 7g%aoili

11 @ F o# %t2>11

I&proveM F1 o# 5ov 2>11 @ F1 o# $e%2>11

Control F2 o# $e% 2>11

5ote4 Chec# for signi7cant improvement after t(o (ee#s of

implementationA

Insert ProjectC+arter



12

M!ASU(!

P#AS!


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13

Ney Pro%ess Indi%ator

CT? 3PIs Data to *e

collecte)

Produ%tivity J o# re%ords

J %onsu&ed

"ours inprodu%ing a

re%ord

5 9is' CC Dealt"Pro,e%t produ%tivity

#ro& Eebruary to

%tober 2>11

Coming from the C%B in the De7ne Phase indicate the (a! it (ill be measured as >PI.0btain calculation of the 'ield and the corresponding data that (ill be collected.

SAMPL! ACC&MPLIS#!D3PI


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1

Sa&pling SiLeCal%ulation

/pplies onl! for Data from Sample 9t!picall! for /ccurac! Projects;


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1

$etailed Pro%ess


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1

$etailed Pro%ess


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1;

$etailed Pro%ess


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1=

$etailed Pro%ess DoEn "loEc+art use) to )etermine Potential

Segmentation0"ailure Mo)es

Ste' =- SelectIm'ro.ement&''ortunit/

Proble&: Per%entage o# Pro,e%t$isapproval

Potential Seg&entation/Eailure


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2>

$etailed Pro%ess


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21

$etailed Pro%ess > "ires in 2> days

D9 nboarding

Condu%t a#ter3 days o# "iring

!ele)Intervie(

E!6 !e&ps

Sieve 9atio:

ral7ssess&ent

; E!6 97s

Sieve 9atio:;

EinalIntervie(

E!6 Sr 97s

Sieve 9atio:

?ob 8er

3 E!6 eads

Sieve 9atio: =2

7nalyti%al 6*a&

3 E!6 !e&ps

Sieve 9atio:

9e%eipt o# ?ob9euest Eor&

9e%eipt by9e%ruit&ent 2;

Sent t"ru 6)&ailS7 o# 3 days

2 days n)boardingI&&ediate 0T7 !raining

CYC6 !I&ins

2&ins

;&ins

&ins

1&ins

&ins

2>&ins

>&ins

TA3T Time 6 )a/sH8 +oursH;6 mins066

mins

Total Turn>Aroun) Time 98mins

Total C/cle Time =5mins

(ecruitment Process


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22

$ata Colle%tion Strategy

'ou ma! just paste here a sample of data collection template preferabl! (ith data that!ou have used for !our project.

'our Data Collection Plan should include F.; &a( Data to calculate ' and G.;ContextualData

5u&eri%al $ata Y

- Continuous

- 7ttribute

- Count

Conte*tual $ata9epresenting t"e Uba%'groundV o#

ea%" pie%e o# data

7 variety o# in#or&ation @ so&enu&eri%al+ so&e te*tual and so&e

&i*ed


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23


Sam'le- Data Collection Strateg/

Time "actorSet o Contextual Data 1Potential JKs2

Target

F


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2


Sam'le- Data Collection Strateg/


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2

Be"avior o# Y/gain there is no straightfor(ard template that !ou can use because diagnosis of 'depends on the nature of !our data and ho( !ou (ould li#e to attac# !our '. *eing the

process o(ner this is (here !ou (ill thin# ho( !ou could approach this problem. 0n (hatareas !ou (ould li#e to vie( !our '?

Initial $iagnosis o# Y

!ool to be 4sed


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2

ANALF!

P#AS!


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2

Y # *H !"in'ing

ist o# Initial Seg&entation/Initial Qs

9e&e&ber+ t"e goal o# 7nalyLe P"ase is to prove #a%tual eviden%e ont"e driver/s o# your proble& Y. !"ere is no "ard and #ast rule or astraig"t#or(ard te&plate #or 7nalyLe P"ase. F"at is %riti%al is t"elogi%al pat" #ollo(ed by t"e Proble& Solver and suitability o# tools used.7t t"e end o# t"e p"ase+ t"e Proble& Solver s"ould be able to list do(n

t"e true root %auses t"at a8e%t Y.

$xample on the succeeding slides

!arget Pro,e%t Y


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2;

Y # *H !"in'ing

I&prove Produ%tivityo#

55 9is' CC Dealt"Pro,e%t

Slo(ness o#Syste&

Seg&ented

per !enureSeg&ented

per perator

!"e tea& de%ided to seg&ent Y into &a,or partitions ("i%" &ay give "ints to(ardsunderstanding t"e sour%e o# t"e proble&. !"is #or&s part o# t"e %onte*tual data %olle%tedpreviously in t"e


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2=

Q1: Slo(ness o# Syste&

"in)ings- 7ppro*i&ately se%onds o# delay is e*perien%e in %o&pleting one

i&age. !"is euates to about > "ours o# delay #or 2+> re%ords delivered in a

&ont" %ondu%ted pro%ess (al't"roug"H

Identi-%ati

on o#I&age

Neying o#$ata

Sub&ission o# $ata

secs:

= sec:

= sec:


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Q2: !enure

Do: $ata #or !enure is nor&al

Da: $ata #or !enure is not nor&al

p)value 1> &ont"sH >.112

nor&al

p)value >3 &ont"sH >.;>>

nor&al

"in)ings-

7t = %on-den%e level+ t"ere is

no suX%ient eviden%e to prove

t"at t"e data #or tenure is not

nor&al (it" reservationH


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Q2: !enureDo: 21> &ont"s 2 3

&ont"s

Do: 21> &ont"s Z 2 3

&ont"s

p)value >.3==

"in)ings-

7t = %on-den%e level+ t"ere

is no suX%ient eviden%e to

prove t"at varian%e o# 1>

&ont"s is not eual to t"e

varian%e o# 3 &ont"s (it"

reservationH


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32

Q2: !enureDo: 1> &ont"s 3 &ont"s

Do: 1> &ont"s Z 3

&ont"s

p)value >.>>>

"in)ings-

7t = %on-den%e level+ t"ere

is suX%ient eviden%e to prove

t"at &ean o# 1> &ont"s is not

eual to t"e &ean o# 3

&ont"s.


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Q3: perator

Findin&s:

!"e &ean o# Y%a+ ?i8y+ and Eran' are signi-%antly di8erent %o&pared

to t"e ot"er pro%essors. Eurt"er investigation s"o(s t"at t"e t"ree

pro%essors "ave only (or'ed on t"e pro,e%t last 7ugust 2>11 9please

see @G4 %enure;


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3

Q3: perator

Best Business Practice o

(ain

Grac

e

M/ra Nani Acel Fca i/ "ran$

#as in>)e't+ $noEle)ge o 'rojectinstructions

Sets sel target a*o.e rom t+estan)ar)

Uses s+ort cut $e/s 1suc+ asal'+a*et an) ta* $e/s2 instea) omouse in na.igating t+e s/stem

#as a.orite account1s2

3een o*ser.er as to t+e )ierent&CC images an)0or loa)ing o

accounts

#as close to excellent t/'ing s$illsan) accurac/

Process t+e 4le in logical entries 1nonee) to return to t+e to' to mo)i/

're.ious entries2

TEo to t+ree 4el)s 'rocess a).anceor e.er/ recor)

#an)s an) Eor$ing senses are'erorming e.en on a con.ersation

#as a goo) an) sEit ju)gment asar as ca'turing t+e 'rinte) names

are concerne)


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3

Q3: perator

Ga'sGrac

e

M/ra Nani Acel Fca i/"ran

$

(ain

(ecor)s s+oul) rea)il/ *e in'utin t+e 'erormance Eor$s+eet

(ecor) non *illa*le Eor$ Dierent user interace 1LN(IAGan) LN(IS32

Mo.ing to anot+er 'roject *ase)on 'riorities


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3

9oot Cause $rilldo(n

Produ%tivity o#5)9ISN

CCPro,e%t

Conne%tivityPro%essors

!enure

Slo(ness o#t"e syste&

used

5o de-nedpro%ess

(or' Wo(


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3

Su&&ary o# Eindings(oot Cause Met+o) o ,ali)ation "in)ings ,ali)it/

Slo(ness o# Syste& Pro%ess (al't"roug"

It (as #ound out t"atappro*i&ately se%onds(ere attributed to t"eslo(ness o# t"e syste&.6li&inating t"is slo(ness(ould in%rease t"eprodu%tivity #ro& 11.2 to133.== re%ords/"our

07I$

perators "avedi8erent pro%essesin %o&pleting ani&age

Pro%ess (al't"roug" and%ondu%ted Be"avioral

study

It (as #ound out t"atpro%essors #ollo(s di8erentpro%esses in %o&pleting ani&age. Based #ro& t"evalidation &ade+ t"ere (ereseveral gaps bet(een t"ebest per#or&er against ot"er

pro%essors.

07I$


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3;

IMP(&,!

P#AS!


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3=

Solution Identi-%ation%his (ill contain mapping of %rue &oot Causes from /nal!He Phase to Identi7ed Solutions.IT IS NECESSAR1 T%AT ALL IENTIFIE TR+E ROOT CA+SES ARE ARESSE5

0ther(ise !ou ma! prioritiHe in case resource is an issue.

'ou ma! also include the proof of concept of !our identi7ed solution. If it is a processchange !ou ma! sho( before and after process o(. If it is a change of polic! or platformsho( the change and rationalit! for the change.

If it is necessar! to prioritiHe the solution sho( tool+s used to prioritiHed 9e.g. Selection"atrix;


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>

Solution Identi-%ation

(oot CauseCorrecti.e

ActionIm'lementation

DateStatus

Slo(ness o#Syste&

C"ange %onne%tionto Internet

?anuary 2>12

!"e #ailover test (as su%%ess#ul. ?PBaided and t"e 5et(or' tea& (ill no((or' on designing


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1

9is' 7nalysis on t"e Sele%ted Solutions

%his (ill contain the potential problems !ou can alread! foresee prior to SolutionImplementation. %he intention of this section is for !ou to identif! preventive and

corrective action to achieve successful execution for !our solution.

(IS3 ANALFSIS !JAMPL!-


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3

Solution I&ple&entationS&LUTI&N IMPL!M!NTATI&N !JAMPL!-


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0eri-%ation o# Solution 68e%tiveness

%his (ill contain the PROOF OF EFFECTI!ENESS of solutions executed.

Critical Co#ponents:

Proo that the &oal was #et or the chan&e is sicant

Beore-Ater Co#parison thro"&h ata Anal)sis.Process A"dit

B"siness Case Re,iew

$onetar) Bene;t Non-#onetar) Bene;t

I#pact to !oice o the C"sto#er

I#pact to !oice o the Process

I#pact to !oice o the E#plo)ees

(eneral I#pact to Or&ani


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0eri-%ation o# Solution68e%tiveness

Processor Beore Ater

9ain 1.3>21>.;;

1;.=

5ani 12.33 ^$I0/>_

7%el 11.1 ^$I0/>_Y%a

2.; 13.;;

?i8y =.3= 11=.>;

Eran' ==. 121.3

A.erage =6:6 =8=:8

!(o &ont"s a#ter i&ple&enting t"e solutions in F2 o# 5ove&ber 2>11+gap assess&ent and typing e*er%iseH+ signi-%ant i&prove&ent (ereobserved on t"e produ%tivity o# t"e tea&. Ero& an average o# 11.2re%ords per "our #ro& ?anuary to ?uly 2>11+ t"e tea& (ere able toin%rease t"eir produ%tivity by by F2 o# ?anuary 2>12 @ t(o &ont"s

a#ter i&ple&enting t"e solutions.

,!(I"ICATI&N &" S&LUTI&N !""!CTI,!N!SS !JAMPL!-

Be#ore and 7#ter


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Be#ore and 7#terCo&parison

Grap" s"o(s signi-%ant i&prove&ent on t"e average produ%tivity a#teri&ple&enting t"e solutions as %o&pared to t"e average produ%tivitybe#ore SS. Do(ever+ "ig" variation is observed sin%e t"e pro,e%t is onlyt(o &ont"s into t"e i&ple&entation. Si&ulating t"e Eebruary dataassu&ing produ%tivity is t"e sa&e as in ?anuary @ 1;1.2;H+ it (ould give

us a si&ulated p)value ("en run (it" 2 sa&ple ! testH o# >.>32s"o(ing signi-%ant i&prove&ent.


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IS

=stmont+ ater

Im'lementation 1D!C 6==2

n)mont+ater

Im'lementation 1AN 6=2

UNIT

Produ%tivity 11.2 1. 1;1.2; 9e%ords/"our

0olu&e &ont"H >+>>> >+>>> >+>>> 9e%ords/&ont"

!7N! 32. 3. 2.;2 Dours/&ont"

Dours in a

&ont"M

13> 13> 13> Dours/&ont"

E!6 3.33 2. 2.12 E!6

2;+1.2; 22=+13=.= PDP/year

Savings per year 2+1>1.= 13>+12.31 PDP/year

Sa.ings 'er/ear 1O2

=:9 P#P .s= USD

=755:Q 7=9:9Q USD0/earA sed J.E productive hours KG da!s in a monthAA &ealiHed savings for t(o months is FJMEG.NG PP

Besides the sa,in&s indicatedherein= the pro>ect?s s"stantialit)transcends to the act that this isa critical SLA or clients which #a)

res"lt to client p"ll o"t or @consec"ti,e #onths o not hittin&


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;

0oi%e o# t"e Custo&erDello everyone+Eirst o# all+ let &e say t"ese are #antasti% results_

Please e*tend &y sin%erest appre%iation to everyonein t"e tea&.

I "ad to (ait until all t"e details are in be#oresending t"is note. 7s (e "ave originally stated+ it isessential #or t"e tea& to gain t"e appropriatea&ount o# e*posure in order #or t"e rig"t targets tobe &et. bviously+ t"ere is still (or' to be done on"o( to #a%tor in &ultiple pro,e%ts and its e8e%t on anindividuals output to(ards establis"ing realisti%targets #or %ross)utiliLed resour%es. !"is does not"o(ever di&inis" t"e outstan)ing Eor$done"ere. Fe are very glad t"at t"e tea& respondedpositively and not only &et but e*%eeded alle*pe%tations.

!"an's also to S"er(in+ Sonny and ?"onie+ #or t"epatien%e+ dedi%ation and #o%us you all "ave s"o(n.

!"is is a great -rst e8ort. ets &a'e sure t"e tea&%ontinues t"is pat" o# on)going i&prove&ent.

Dave a great day_

=an "ondido"anager CIS


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>

StandardiLation Plan

3e/ ?uestions Stan)ar)iation Plan Descri'tion

F"at toStandardiLeO

Pro%edure in pro%essing an i&age

F"o FillStandardiLeO

!ea& eaders S"er(in 9o&ero and SonnyGaviolaH

F"ere toStandardiLeO

CC Dealt" Pro,e%t

F"en toStandardiLeO

$e%e&ber =+ 2>11

Do( toStandardiLeO


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1

Strategy #or Control

Acti.ities Descri'tion Date

Mortem 1inclusi.e o Lessons Learne) )uring t+e 'roject2


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Pro,e%t 7dvan%e&ent

!"e produ%tivity per#or&an%e starting Eebruary 2>12 and t"e result o#

i&ple&enting t"e ne( %onne%tion via internet (ill be %losely &onitored

to see i# t"ere (ill be signi-%ant i&prove&ent on t"e produ%tivity o#

CC Dealt" Pro,e%t.

In addition+ Be"avioral Study &ay be i&ple&ented on ot"er pro,e%ts

su8ering #ro& in%onsistent per#or&an%e o# ea%" operator.

Ta$e Note%

7ll a%tion ite&s t"at "ave yet to be %o&pleted/started (ill be indi%ated "ere. Continuous&onitoring o# t"e per#or&an%e (ill be done to ensure t"at all a%tion ite&s (ill bei&ple&ented as s%"eduled. 5e( proble&s arising on t"e pro,e%t t"at is not related to t"eroot %auses identi-ed previously (ill be treated as a separate SS pro,e%t.

P(&!CT AD,ANC!M!NT !JAMPL!-

Project Storyboard Template - DMAIC

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