+ All Categories
Home > Documents > Stanford / MIT Management by...

Stanford / MIT Management by...

Date post: 19-Oct-2019
Category:
Upload: others
View: 4 times
Download: 0 times
Share this document with a friend
20
1 Stanford / MIT Stanford / MIT Management by Fact Management by Fact Deep Benchmarking Deep Benchmarking EDUCAUSE EDUCAUSE November 5, 2003 November 5, 2003
Transcript

1

Stanford / MITStanford / MIT

Management by FactManagement by Fact Deep BenchmarkingDeep Benchmarking

EDUCAUSEEDUCAUSENovember 5, 2003November 5, 2003

2

Deep BenchmarkingDeep Benchmarking

Project began summer 2002Project began summer 2002

Details, charts, metrics available atDetails, charts, metrics available at

http://web.mit.edu/is/about/benchmarkinghttp://web.mit.edu/is/about/benchmarking

Article to be published in EDUCAUSEArticle to be published in EDUCAUSEQuarterly in Jan/Feb 2004Quarterly in Jan/Feb 2004

3

We had to go deep, then be strategicWe had to go deep, then be strategic

Establish partnership, scope

General understanding• Processes, definitions

Raw dataMetrics

Initial prepCorrections

Sharing, teaching

Another tool for management, cultural change

Intense, deep,iterative

project work

4

We linked goals to specific metrics andWe linked goals to specific metrics andthen created a dashboardthen created a dashboard

Invest Appropriately• % of budget• Clients served/FTE

Be Cost Effective• Cost per case by topic• Total costs by topic• Cases by media, including

self-help

Be Responsive• Elapsed time per case

(days)• Call abandonment• Hold time• Time to answer• % of cases resolved

on 1st contact

Support Customer Needswith High Quality Service

• Annual customer survey• Spot-surveys on selected

transactions

Develop Effective, Mature Processes• # of contacts vs. # of days to resolve• Origin of Help Desk cases

Develop High Performing,Competent Teams

• Employee satisfctn. survey• Individual perf. metrics• Team performance metrics• Training $$ / FTE• % Help Desk certification• Case volume compared to

staff skills mixSupport Rollout of New Systems• Case volume by topic 3 months

before and after launch• Minutes per case

5

Metrics lead to action onMetrics lead to action onmany frontsmany fronts

OrganizationalOrganizational

• Increased budget;automated support

• Measure staff

• Stanford re-org:consolidation of allclient-facing work

• Put HD staff onsolid funding, notone-time $

ManagerialManagerial

• Sharing metricswith staff, teams

• Refining metrics –measure the rightthings

• Specific responses:e.g., create “swat”team for Oraclerollout

• Everyone in ITtracks his/her time

CulturalCultural

• Understandingdata; recognizingsimilarities, pushfor action

• Collaborationacross schools

• Apply metrics toall IT projects

• Value people withtechnical andbehavioral skills

6

Metrics lead to action onMetrics lead to action onmany frontsmany fronts

OrganizationalOrganizational

• Increased budget;automatedproductionsupport

ManagerialManagerial

• Sharing metricswith staff, teams

CulturalCultural

• Understandingdata; recognizingsimilarities

• Push for action

7

Gauging investment and effectivenessGauging investment and effectivenessFY 03FY 03

53%53%$64.18$64.18$41.83$41.83Help Desk Budget / TicketHelp Desk Budget / Ticket

5%5%1,6751,6751,5951,595Tickets / Help Desk FTETickets / Help Desk FTE

42%42%1,0101,010712712Population per HD EmployeePopulation per HD Employee

-48%-48%1.71.72.22.2Tickets / School PopulationTickets / School Population

3.1%3.1%4.2%4.2%Help Desk Budget / IT BudgetHelp Desk Budget / IT Budget

4.0%4.0%2.9%2.9%IT Dept Budget / University BudgetIT Dept Budget / University Budget

VarianceVarianceStanfordStanfordMITMIT

Cost per Ticket

$0

$20

$40

$60

$80

$100

$120

$140

$160

$180

$200

Accounts

Backup

Business

Apps

Business

Func

Cluster

Connect

ivity

Course

wareEmail

Hardware

OS Soft

wareOther

Printin

g

Desk Soft

ware

Securit

y/Viru

sWeb

MIT Stanford

9

Total Annual Cost by Help Desk Topic

$0

$80,000

$160,000

$240,000

$320,000

$400,000

$480,000

Accounts

Backup

Business

Apps

Business

Func

Cluster

Connect

ivity

Courseware

Email

Hardware

OS Soft

wareOther

Printin

g

Desk Soft

ware

Securit

y/Viru

sWeb

Annu

al C

ost

MITStanford

10

Metrics lead to action onMetrics lead to action onmany frontsmany fronts

OrganizationalOrganizational

• Increased budget;automated support

ManagerialManagerial

• Sharing metricswith staff, teams

• Refining metrics –measure the rightthings

CulturalCultural

• Understandingdata; recognizingsimilarities, pushfor action

• Collaborationacross schools

11

• Define scope

• Set goals

• Form team

• Develop plan

• Teach team

• Launch

Prepare

• Researchliterature

• Visit sites

• Map processes

• Define data

• Collect data

• Define metrics

• Calculatemetrics

Study &Define

• Draft adashboard

• Populate withavailable data

• Test and revise

• Make easilyrepeatable

• Use inoperations

Operationalize

• Usedashboard

• Publicize

• Replaceexistingreports

• Explorenext areafor bench-marking

Leverage

• Interpret athigh-level

• Identify areasto explore

• Identifypotentialimprovements

• Test initialchanges

Interpret& Test

Continuously test and revise

Deep Benchmarking: 5 Iterative Phases

12

Client Satisfaction % Clients reporting as Satisfied or Very Satisfied on per-case surveys Staff competency contributions to Client Satisfaction

Average Overall Sat.

N = 175; 5 point scale

Problem Solving Age in Days of Cases Closing per Day Cases Created per day, by Medium Used

6 or more days

1 to 5 days

< 24 hours

Residual Open Cases (Open minus Closed plus previous balance) Team Components of Residual Open Cases

Avg Cases Open

Phones ACD standard statistics, for all teams that use ACD (CHD and BusinessHelp) Miscellaneous Statistics

ACD Abandon Rate

Consultant ACD Logged Hours, average per day 61Calls Offered, avg per day 179

Wait time, avg per day 95 secLength of call, avg per day 6:36 m:sCases created by phone 38 %

Average Cases created per work day 157

goal is 10% Cases created outside working hours 23 %

4.52

20%

25%13%62%

689

60%

80%

100%

7/21 7/28 8/4 8/11 8/18 8/25 9/1 9/8 9/15 9/22 9/29 10/6 10/13

Results for Surveys from Cases created week beginning..

0

50

100

150

200

250

300

7/21 8/4 8/18 9/1 9/15 9/29 10/13

Calls

Wait

Hours

Abdn

Professionalism

4

5

7/21 8/18 9/15 10/13

Communication

4

5

7/21 8/18 9/15 10/13

Availability

4

5

7/21 8/18 9/15 10/13

Timeliness

4

5

7/21 8/18 9/15 10/13

Expertise

4

5

7/21 8/18 9/15 10/13

Resolution

4

5

7/21 8/18 9/15 10/13

300

400

500

600

700

800

900

1000

7/21 7/28 8/4 8/11 8/18 8/25 9/1 9/8 9/15 9/22 9/29 10/6 10/13

0

50

100

150

200

250

300

350

7/21 7/28 8/4 8/11 8/18 8/25 9/1 9/8 9/15 9/22 9/29 10/6 10/13

Web

Email

Voice

0

50

100

150

200

250

300

350

7/21 8/4 8/18 9/1 9/15 9/29 10/13

6 +

1 - 5

< 1

0

200

400

600

800

1000

1200

7/21 7/28 8/4 8/11 8/18 8/25 9/1 9/8 9/15 9/22 9/29 10/6 10/13

Total

Helpdesk

BusinessHelp

MCC

13

Metrics lead to action onMetrics lead to action onmany frontsmany fronts

OrganizationalOrganizational

• Increased budget;automated support

• Measure staff

ManagerialManagerial

• Sharing metricswith staff, teams

• Refining metrics –measure the rightthings

CulturalCultural

• Understandingdata; recognizingsimilarities, pushfor action

• Collaborationacross schools

14

Facts prompted discussions aboutFacts prompted discussions aboutemployee performanceemployee performance

Stanford IT Help Desk (Level 2)

Hours Logged FY02

1086

676

630

623

532

461

414

294

130

0 200 400 600 800 1000 1200

Staff Member F

Staff Member G

Staff Member H (80%)

Staff Member B

Staff Member E (55%)

Staff Member I

Staff Member A

Staff Member C (75%)

Managers D

15

Metrics lead to action onMetrics lead to action onmany frontsmany fronts

OrganizationalOrganizational

• Increased budget;automated support

• Measure staff

• Stanford re-org:consolidation ofall client-facingwork

ManagerialManagerial

• Sharing metricswith staff, teams

• Refining metrics –measure the rightthings

• Specificresponses:e.g., create “swat”team for Oraclerollout

CulturalCultural

• Understandingdata; recognizingsimilarities, pushfor action

• Collaborationacross schools

• Apply metrics toall IT projects

16

Stanford Helpdesks: Tier Where Resolved

0

5000

10000

15000

20000

Accts/I

D's/Auth

Backup

Bus App Suppt

Bus. Functi

ons

Cluster

Connect

ivity

Course

wareEmail

Hardware

OS Soft

wareOthe

r

Printin

g

Producti

vity S

W

Securit

y/Viru

sW

eb

Cas

es &

Com

plex

ity

OtherLevel 2Level 1

See supporting data in Appendix 9

17

Data quantified support needed toData quantified support needed torollout new systemsrollout new systems

Impact: New Business Applications

-

1,000

2,000

3,000

4,000

5,000

6,000

7,000

A S O N D J F M A M J J12 Months FY02

Num

ber

of T

roub

le T

icke

ts ITSS Help DeskLevel 1

ITSS Help DeskLevel 2

LegacyApplications

Rollout NewApplications

Total HelpTickets

Some rollout application tickets included in HDLevels 1 & 2.

Kronos/HR People Soft

Jan.

Axess Probs. March

18

Metrics lead to action onMetrics lead to action onmany frontsmany fronts

OrganizationalOrganizational

• Increased budget;automated support

• Measure staff

• Stanford re-org:consolidation of allclient-facing work

• Emphasis on“professionalization”of Help Desk staff(solid funding,certified, etc.)

ManagerialManagerial

• Sharing metricswith staff, teams

• Refining metrics –measure the rightthings

• Specific responses:e.g., create “swat”team for Oraclerollout

• Everyone in ITtracks his/hertime

CulturalCultural

• Understandingdata; recognizingsimilarities, pushfor action

• Collaborationacross schools

• Apply metrics toall IT projects

• Value people withtechnical andbehavioral skills

19

Summary:Summary:Planning a deep benchmarking projectPlanning a deep benchmarking project

Choose a good partnerChoose a good partner Invest in site visitsInvest in site visits Plan for many iterationsPlan for many iterations Have a dedicated project managerHave a dedicated project manager Metrics must be actionable and tell a storyMetrics must be actionable and tell a story Allow time for others to internalizeAllow time for others to internalize Ensure top-level management wants to useEnsure top-level management wants to use

metrics in a meaningful waymetrics in a meaningful way

20

Cultural Change:Cultural Change:Management by FactManagement by Fact

Use facts to dispel the myth of theUse facts to dispel the myth of theanecdoteanecdote

http://web.mit.edu/is/about/benchmarkinghttp://web.mit.edu/is/about/benchmarking


Recommended