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Frequently	
  Asked	
  Ques%ons	
  
©2018	
  True	
  Office	
  Learning,	
  Inc.	
  
Busting E-Learning Myths
Separa8ng	
  Effec8ve	
  Training	
  From	
  Trends	
  
June 20, 2018
Introduction
Neha Gupta | Chief Executive Officer, True Office Learning
Neha	
  is	
  responsible	
  for	
  True	
  Office	
  Learning’s	
  product	
  and	
  technology	
  vision,	
  
strategy	
  and	
  growth.	
  Prior	
  to	
  her	
  role	
  as	
  CEO,	
  Neha	
  served	
  as	
  Senior	
  Director	
  of	
  
Learning	
  Solu8ons	
  &	
  Strategic	
  Ini8a8ves	
  at	
  NYSE	
  Governance	
  Services,	
  leading	
  all	
  
product	
  strategy	
  and	
  development	
  ini8a8ves	
  for	
  the	
  business.	
  Neha	
  has	
  also	
  
served	
  as	
  Ci8group’s	
  Chief	
  of	
  Staff	
  for	
  the	
  Ins8tu8onal	
  Clients	
  Group	
  Technology	
  
organiza8on,	
  repor8ng	
  directly	
  to	
  the	
  CIO.	
  In	
  her	
  8me	
  with	
  Ci8group,	
  Neha	
  led	
  a	
  
number	
  of	
  strategic	
  change	
  management	
  efforts	
  involving	
  cri8cal,	
  mul8-­‐million	
  
dollar	
  ini8a8ves	
  across	
  industries.	
  
Neha	
  holds	
  an	
  MBA	
  in	
  Management	
  and	
  Business	
  Strategy	
  from	
  Rutgers	
  Business	
  
School	
  and	
  a	
  BE	
  in	
  Computers	
  and	
  Electrical	
  Engineering	
  from	
  the	
  Honors	
  College	
  
of	
  Engineering	
  at	
  Rutgers.	
  
	
  
	
  
6
Buzzwords vs. Meaningful
Technology Capabilities
Myth 1: Personalization = Adaptive Learning
PSEUDO-­‐ADAPTIVE	
  	
  
•  Personalized	
  Learning	
  
•  Branching	
  Scenarios	
  
•  Opt-­‐Out	
  Quiz	
  /	
  Quiz	
  banks	
  
•  Helpful,	
  but	
  doesn’t	
  take	
  performance	
  into	
  account	
  
•  Realize	
  only	
  30-­‐50%	
  of	
  the	
  benefits	
  
ADAPTIVE	
  TECHNOLOGY	
  
•  Standalone	
  Adap8ve	
  Learning	
  or	
  Adap8ve	
  Ecosystem	
  
•  Minimizes	
  learner	
  fa8gue	
  
•  Shortens	
  8me	
  required	
  for	
  training	
  
•  Helps	
  individual	
  learners	
  improve	
  in	
  weaker	
  areas	
  
•  Drives	
  greater	
  behavioral	
  change	
  
	
  
TREND:	
  More	
  solu8ons	
  claim	
  to	
  offer	
  “adap8ve	
  learning”	
  experiences.	
  
Adap%ve	
  Sequence:	
  Tools	
  with	
  adap8ve	
  sequences	
  have	
  a	
  lot	
  
going	
  on	
  behind	
  the	
  scenes.	
  These	
  tools	
  are	
  con8nuously	
  
collec8ng	
  and	
  analyzing	
  student	
  data	
  to	
  automa8cally	
  change	
  
what	
  a	
  student	
  sees	
  next;	
  
Adap%ve	
  Assessment:	
  The	
  key	
  to	
  understanding	
  adap8ve	
  
assessment	
  is	
  to	
  remember	
  that	
  these	
  tools	
  change	
  the	
  
ques8ons	
  a	
  student	
  sees	
  based	
  on	
  his	
  or	
  her	
  response	
  to	
  the	
  
previous	
  ques8on.	
  	
  
Adap%ve	
  Content:	
  When	
  a	
  student	
  gets	
  something	
  wrong,	
  
tools	
  with	
  adap8ve	
  content	
  respond	
  with	
  feedback	
  that’s	
  
based	
  on	
  that	
  student's	
  specific	
  mistake.	
  The	
  tools	
  provide	
  
materials	
  to	
  review	
  the	
  relevant	
  skill.	
  	
  
CONTENT	
  
SEQUENCE	
  ASSESSMENT	
  
8
Optimizing learning with Adaptive Technology
9
Myth 2: Data = Insight
DATA	
   INSIGHT	
  
TREND:	
  LMS	
  and	
  training	
  systems	
  produce	
  more	
  data	
  through	
  xAPI	
  and	
  other	
  means	
  
Comple8on	
  
Stats	
  
Pass	
  Rate	
   Quiz	
  Scores	
  
Ac8vity	
  	
  
by	
  Week	
  
Ac8vity	
  	
  
by	
  Loca8on	
  
Time	
  Spent	
  
Mobile	
  vs.	
  
Tablet	
  
Poll	
  Results	
  
Confidence	
  
Survey	
  
What	
  are	
  these	
  metrics	
  telling	
  you?	
  	
   What	
  ac8onable	
  intelligence	
  should	
  tell	
  you:	
  
10
PRESCRIPTIVE
PREDICTIVE
DIAGNOSTIC
DESCRIPTIVE
VALUE
COMPLEXITY
What	
  do	
  I	
  need	
  to	
  do?	
  	
  
What’s	
  likely	
  to	
  happen?	
  	
  
Why	
  is	
  it	
  happening?	
  	
  
What’s	
  happening	
  in	
  my	
  
business?	
  	
  
PRESCRIPTIVE	
  
PREDICTIVE	
  
DIAGNOSTIC	
  
DESCRIPTIVE	
  
11
TYPES	
  OF	
  DATA	
  
Myth 2: Data = Insight
Myth 3: Micro Bursts = Learning
EXPEDIENCY	
  
•  Highly	
  effec8ve	
  for	
  reinforcement	
  or	
  short	
  term	
  goals	
  	
  
•  Shorter	
  format	
  makes	
  consump8on	
  easier	
  
•  Reten8on	
  of	
  focused	
  bursts	
  higher	
  
•  Gaining	
  momentum	
  as	
  preferred	
  method	
  of	
  training	
  
for	
  8me-­‐starved	
  employees	
  
	
  
PRACTICALITY	
  
•  Fragmenta8on	
  and	
  lack	
  of	
  cogni8ve	
  synthesis	
  
•  Insufficient	
  research	
  to	
  know	
  whether	
  it	
  is	
  an	
  effec8ve	
  
strategy	
  for	
  reaching	
  long-­‐term	
  goals	
  
•  Elevated	
  program	
  management	
  costs	
  
•  Learner	
  confusion	
  and	
  lack	
  of	
  agency	
  to	
  cover	
  topic	
  
thoroughly	
  in	
  one	
  sijng	
  
TREND:	
  As	
  aken8on	
  spans	
  fade,	
  the	
  shorter	
  the	
  training,	
  the	
  easier	
  it	
  is	
  to	
  absorb.	
  
12
“It’s Engaging” “It Works” “It’s Casual”
The	
  Micro-­‐Learning	
  Percep8on	
  
Building deep- set knowledge
13
Myth 4: Better Looking = More Effective
VISUAL	
  STIMULATION	
  
•  Output	
  is	
  short-­‐lived,	
  doesn’t	
  further	
  goal	
  to	
  
make	
  effec8ve	
  choices	
  
•  Can	
  some8mes	
  limit	
  learner	
  agency	
  	
  
(ex.	
  Video)	
  
•  High	
  cost	
  to	
  create,	
  maintain	
  	
  
and	
  personalize,	
  especially	
  for	
  a	
  global	
  audience	
  
•  Novelty	
  can	
  wear	
  off	
  quickly,	
  resul8ng	
  	
  
in	
  large	
  investment	
  with	
  minimal	
  return	
  
TREND:	
  Flashier	
  solu8ons	
  are	
  more	
  effec8ve	
  -­‐	
  anima8ons	
  and	
  strong	
  visuals	
  are	
  key	
  for	
  effec8ve	
  learning.	
  
COGNITIVE	
  VALUE	
  
•  Learning	
  Logic	
  is	
  paramount	
  –	
  solve	
  	
  
the	
  real	
  employee	
  pain	
  point	
  
•  Drive	
  behaviors,	
  not	
  just	
  interest	
  
•  Engage	
  the	
  analy8cal	
  parts	
  of	
  the	
  brain,	
  not	
  just	
  
the	
  visual	
  cortex	
  
•  Innovate	
  “inside	
  the	
  box”	
  –	
  support	
  	
  
the	
  100%	
  learner	
  popula8on	
  
•  Don’t	
  compromise	
  measurement	
  
14
CAUSATION	
  
C A U S A T I O N 	
  
=CAUSATION	
  
C O R R E L A T I O N 	
  
Myth 5: Sentiment = Performance
FILLING	
  THE	
  DATA	
  GAPS	
  
•  Trying	
  to	
  make	
  up	
  for	
  the	
  gaps	
  in	
  quiz-­‐based	
  
assessment	
  
•  Elimina8ng	
  response	
  bias	
  is	
  difficult	
  	
  
TREND:	
  Assessing	
  learner	
  confidence	
  as	
  a	
  measure	
  	
  
of	
  preparedness	
  and	
  training	
  efficacy	
  	
  
15
88.69%	
  
10.61%	
  0.64%	
  
Highly	
  Confident	
  
Moderately	
  Confident	
  
Not	
  Confident	
  
Row labels User ID count
Highly	
  Confident	
   16%	
  
Moderately	
  Confident	
   12%	
  
Not	
  Confident	
   20%	
  
TOTAL	
   15%	
  
Percentage of employees who are unable to make the effective
decision as seen through behavioral analytics:
Scenario	
  1:	
  Socializing	
  with	
  clients	
  and	
  prospects	
  
Row labels User ID count
Highly	
  Confident	
   18%	
  
Moderately	
  Confident	
   17%	
  
Not	
  Confident	
   28%	
  
TOTAL	
   18%	
  
Scenario	
  2:	
  Buying	
  public	
  stock	
  of	
  a	
  compe8tor	
  
Row labels User ID count
Highly	
  Confident	
   15%	
  
Moderately	
  Confident	
   15%	
  
Not	
  Confident	
   13%	
  
TOTAL	
   15%	
  
Scenario	
  3:	
  Interac8ng	
  with	
  vendors	
  
Enhancing
Learning Efficacy
The Learning Challenge
•  Modern	
  learners	
  engage	
  through	
  a	
  
variety	
  of	
  sources	
  and	
  devices,	
  but	
  
instructor-­‐led	
  classes	
  are	
  s8ll	
  the	
  #1	
  
method	
  for	
  training.1	
  
•  Employees	
  spend	
  an	
  average	
  of	
  33	
  hours	
  
per	
  year	
  on	
  training.2	
  
•  46%	
  of	
  companies	
  have	
  trouble	
  gejng	
  
employees	
  to	
  make	
  8me	
  for	
  L&D.1	
  
•  49%	
  of	
  companies	
  have	
  a	
  limited	
  L&D	
  
budget.1	
  
•  Less	
  than	
  25%	
  would	
  recommend	
  their	
  
L&D	
  program	
  to	
  peers.1	
  
•  $1,252	
  spent	
  per	
  employee	
  on	
  direct	
  
learning.2	
  
•  55%	
  of	
  companies	
  don’t	
  have	
  the	
  8me	
  or	
  
staff	
  to	
  measure	
  at	
  Kirkpatrick	
  levels.3	
  
17
•  Only	
  6%	
  of	
  companies	
  truly	
  measure	
  all	
  
types	
  of	
  learning	
  with	
  an	
  eye	
  on	
  business	
  
results.3	
  
•  52%	
  use	
  a	
  post-­‐training	
  quiz	
  to	
  measure	
  
effec8veness.	
  
•  Less	
  than	
  50%	
  of	
  companies	
  have	
  the	
  in-­‐
house	
  skills	
  to	
  analyze	
  learning	
  data.	
  3	
  
•  66%	
  run	
  analy8cs	
  on	
  no	
  more	
  than	
  half	
  
their	
  learning	
  programs.	
  3	
  
•  60%	
  share	
  their	
  analysis	
  with	
  business	
  
leaders.	
  3	
  
M O D E R N 	
   L E A R N E R S 	
   	
  
W A N T 	
   M O D E R N 	
   L E A R N I N G 	
  
D E L I V E R 	
   A 	
   P E R S O N A L I Z E D 	
  
E X P E R I E N C E 	
  
G E T 	
   A C T I O N A B L E 	
  
I N T E L L I G E N C E 	
  
1	
  LinkedIn	
  Learning:	
  2017	
  Workplace	
  Learning	
  Report	
  
2	
  eLearning	
  Industry:	
  Organiza8onal	
  Trends	
  in	
  Learning	
  &	
  Development	
  
3	
  Brandon	
  Hall:	
  2017	
  Learning	
  Analy8cs	
  Study	
  
Bridging	
  the	
  gap	
  between	
  enterprises	
  and	
  their	
  learners	
  
Technology that connects learning to learners
18
„  Training	
  specific	
  to	
  the	
  needs	
  of	
  the	
  
popula8on,	
  industry	
  and	
  business.	
  
„  Tie	
  learning	
  objec8ves	
  to	
  desired	
  
outcomes/behavior	
  changes	
  by	
  
crea8ng	
  situa8onal	
  assessment	
  that	
  
tests	
  knowledge	
  applica8on	
  rather	
  
than	
  reading	
  comprehension.	
  
„  Courses	
  that	
  engage	
  the	
  learner,	
  
transfer	
  knowledge	
  and	
  drive	
  
behavioral	
  change	
  while	
  genera8ng	
  
meaningful	
  analy8cs	
  for	
  the	
  business.	
  
„  Learn-­‐by-­‐doing	
  with	
  s8mula8ng,	
  
memorable	
  and	
  true-­‐to-­‐life	
  content	
  
and	
  scenarios	
  that	
  increase	
  long	
  term	
  
knowledge	
  reten8on	
  by	
  15-­‐20%.	
  2	
  
	
  
„  Technology-­‐enabled	
  learning	
  
engagement	
  and	
  interac8vity	
  yield	
  
higher	
  knowledge	
  acquisi8on.1	
  
	
  
„  Use	
  adult	
  learning	
  principles	
  to	
  create	
  
engaging	
  courses	
  that	
  capture	
  
aken8on	
  and	
  help	
  retain	
  new	
  
knowledge	
  or	
  skills.	
  
„  Our	
  analy8cs	
  data	
  shows:	
  
•  Total	
  seat	
  8me	
  for	
  rollouts	
  
reduced	
  by	
  15-­‐20%	
  through	
  
adap8ve	
  learning	
  logic.	
  3	
  
•  On	
  average	
  40-­‐50%	
  of	
  the	
  
popula8on	
  saves	
  10-­‐15	
  min.	
  on	
  
the	
  same	
  content.	
  3	
  
•  The	
  8me	
  saved	
  directly	
  yields	
  
financial	
  value	
  and	
  produc8vity	
  
to	
  the	
  business.	
  
Adap8ve	
  learning	
  technology	
  yields…	
  
B E T T E R 	
   A L I G N M E N T 	
   	
  
T O 	
   B U S I N E S S 	
   O B J E C T I V E S 	
  
M O D E R N 	
   L E A R N I N G 	
  
E X P E R I E N C E S 	
  
M E T R I C S 	
   T H A T 	
   	
  
G E T 	
   A T T E N T I O N 	
  
1	
  Impact	
  of	
  Interac8ve	
  Learning	
  on	
  Knowledge	
  Reten8on	
  
2	
  Ac8ve	
  Learning	
  to	
  Improve	
  Long	
  Term	
  Knowledge	
  Reten8on	
  
3	
  Results	
  based	
  on	
  analysis	
  of	
  An8-­‐Corrup8on,	
  Conflicts	
  of	
  Interest	
  and	
  Workplace	
  Harassment	
  courses	
  
Behavioral Analytics: Beyond Metrics
19
Behavior	
  intelligence	
  that	
  goes	
  far	
  beyond	
  LMS	
  data	
  
•  Analyze	
  real-­‐8me	
  aggregate	
  
performance	
  to	
  quickly	
  iden8fy	
  
knowledge	
  gaps	
  
•  Benchmark	
  performance	
  internally	
  and	
  
compare	
  trends	
  for	
  various	
  segments	
  
of	
  your	
  organiza8on	
  to	
  demonstrate	
  
training	
  effec8veness	
  
•  Strengthen	
  knowledge	
  gaps,	
  drive	
  
business	
  outcomes,	
  and	
  quan8ta8vely	
  
inform	
  future	
  program	
  design	
  
Thank you
Neha Gupta | Chief Executive Officer	
  
True	
  Office	
  Learning	
  
neha.gupta@trueoffice.com	
  
#CLOwebinar
	
   	
  
	
  	
  
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THE IMPERATIVE TO BUILD A RESILIENT AND AGILE ORGANIZATION—ONE MINDSET AT A TIME

  • 1. #CLOwebinar The presentation will begin at the top of the hour. A dial in number will not be provided. Listen to today’s webinar using your computer’s speakers or headphones. Welcome to the webinar!
  • 2. #CLOwebinar         Tools You Can Use Audio Control –  A dial in number will not be provided. –  The audio will stream through your headphones or computer speakers. –  Also check your computer’s volume for external speakers or headsets.
  • 3. #CLOwebinar Ques%ons  and  Handouts   You  can  submit  ques%ons  by  clicking  on   this  icon  here.           You  can  download  a  PDF  of  the  slide  deck   by  clicking  here.  
  • 4. #CLOwebinar         1. May I receive a copy of the slides? YES! Click on the handouts located on the right portion of your screen. 2. May I review the webinar recording at a later date? YES! You may log in again using today’s link to review the presentation on-demand. 3. Is this webinar HRCI or SHRM certified? YES! The HRCI and SHRM certification codes will be sent in the follow up email. Frequently  Asked  Ques%ons  
  • 5. ©2018  True  Office  Learning,  Inc.   Busting E-Learning Myths Separa8ng  Effec8ve  Training  From  Trends   June 20, 2018
  • 6. Introduction Neha Gupta | Chief Executive Officer, True Office Learning Neha  is  responsible  for  True  Office  Learning’s  product  and  technology  vision,   strategy  and  growth.  Prior  to  her  role  as  CEO,  Neha  served  as  Senior  Director  of   Learning  Solu8ons  &  Strategic  Ini8a8ves  at  NYSE  Governance  Services,  leading  all   product  strategy  and  development  ini8a8ves  for  the  business.  Neha  has  also   served  as  Ci8group’s  Chief  of  Staff  for  the  Ins8tu8onal  Clients  Group  Technology   organiza8on,  repor8ng  directly  to  the  CIO.  In  her  8me  with  Ci8group,  Neha  led  a   number  of  strategic  change  management  efforts  involving  cri8cal,  mul8-­‐million   dollar  ini8a8ves  across  industries.   Neha  holds  an  MBA  in  Management  and  Business  Strategy  from  Rutgers  Business   School  and  a  BE  in  Computers  and  Electrical  Engineering  from  the  Honors  College   of  Engineering  at  Rutgers.       6
  • 8. Myth 1: Personalization = Adaptive Learning PSEUDO-­‐ADAPTIVE     •  Personalized  Learning   •  Branching  Scenarios   •  Opt-­‐Out  Quiz  /  Quiz  banks   •  Helpful,  but  doesn’t  take  performance  into  account   •  Realize  only  30-­‐50%  of  the  benefits   ADAPTIVE  TECHNOLOGY   •  Standalone  Adap8ve  Learning  or  Adap8ve  Ecosystem   •  Minimizes  learner  fa8gue   •  Shortens  8me  required  for  training   •  Helps  individual  learners  improve  in  weaker  areas   •  Drives  greater  behavioral  change     TREND:  More  solu8ons  claim  to  offer  “adap8ve  learning”  experiences.   Adap%ve  Sequence:  Tools  with  adap8ve  sequences  have  a  lot   going  on  behind  the  scenes.  These  tools  are  con8nuously   collec8ng  and  analyzing  student  data  to  automa8cally  change   what  a  student  sees  next;   Adap%ve  Assessment:  The  key  to  understanding  adap8ve   assessment  is  to  remember  that  these  tools  change  the   ques8ons  a  student  sees  based  on  his  or  her  response  to  the   previous  ques8on.     Adap%ve  Content:  When  a  student  gets  something  wrong,   tools  with  adap8ve  content  respond  with  feedback  that’s   based  on  that  student's  specific  mistake.  The  tools  provide   materials  to  review  the  relevant  skill.     CONTENT   SEQUENCE  ASSESSMENT   8
  • 9. Optimizing learning with Adaptive Technology 9
  • 10. Myth 2: Data = Insight DATA   INSIGHT   TREND:  LMS  and  training  systems  produce  more  data  through  xAPI  and  other  means   Comple8on   Stats   Pass  Rate   Quiz  Scores   Ac8vity     by  Week   Ac8vity     by  Loca8on   Time  Spent   Mobile  vs.   Tablet   Poll  Results   Confidence   Survey   What  are  these  metrics  telling  you?     What  ac8onable  intelligence  should  tell  you:   10
  • 11. PRESCRIPTIVE PREDICTIVE DIAGNOSTIC DESCRIPTIVE VALUE COMPLEXITY What  do  I  need  to  do?     What’s  likely  to  happen?     Why  is  it  happening?     What’s  happening  in  my   business?     PRESCRIPTIVE   PREDICTIVE   DIAGNOSTIC   DESCRIPTIVE   11 TYPES  OF  DATA   Myth 2: Data = Insight
  • 12. Myth 3: Micro Bursts = Learning EXPEDIENCY   •  Highly  effec8ve  for  reinforcement  or  short  term  goals     •  Shorter  format  makes  consump8on  easier   •  Reten8on  of  focused  bursts  higher   •  Gaining  momentum  as  preferred  method  of  training   for  8me-­‐starved  employees     PRACTICALITY   •  Fragmenta8on  and  lack  of  cogni8ve  synthesis   •  Insufficient  research  to  know  whether  it  is  an  effec8ve   strategy  for  reaching  long-­‐term  goals   •  Elevated  program  management  costs   •  Learner  confusion  and  lack  of  agency  to  cover  topic   thoroughly  in  one  sijng   TREND:  As  aken8on  spans  fade,  the  shorter  the  training,  the  easier  it  is  to  absorb.   12 “It’s Engaging” “It Works” “It’s Casual” The  Micro-­‐Learning  Percep8on  
  • 13. Building deep- set knowledge 13
  • 14. Myth 4: Better Looking = More Effective VISUAL  STIMULATION   •  Output  is  short-­‐lived,  doesn’t  further  goal  to   make  effec8ve  choices   •  Can  some8mes  limit  learner  agency     (ex.  Video)   •  High  cost  to  create,  maintain     and  personalize,  especially  for  a  global  audience   •  Novelty  can  wear  off  quickly,  resul8ng     in  large  investment  with  minimal  return   TREND:  Flashier  solu8ons  are  more  effec8ve  -­‐  anima8ons  and  strong  visuals  are  key  for  effec8ve  learning.   COGNITIVE  VALUE   •  Learning  Logic  is  paramount  –  solve     the  real  employee  pain  point   •  Drive  behaviors,  not  just  interest   •  Engage  the  analy8cal  parts  of  the  brain,  not  just   the  visual  cortex   •  Innovate  “inside  the  box”  –  support     the  100%  learner  popula8on   •  Don’t  compromise  measurement   14 CAUSATION   C A U S A T I O N   =CAUSATION   C O R R E L A T I O N  
  • 15. Myth 5: Sentiment = Performance FILLING  THE  DATA  GAPS   •  Trying  to  make  up  for  the  gaps  in  quiz-­‐based   assessment   •  Elimina8ng  response  bias  is  difficult     TREND:  Assessing  learner  confidence  as  a  measure     of  preparedness  and  training  efficacy     15 88.69%   10.61%  0.64%   Highly  Confident   Moderately  Confident   Not  Confident   Row labels User ID count Highly  Confident   16%   Moderately  Confident   12%   Not  Confident   20%   TOTAL   15%   Percentage of employees who are unable to make the effective decision as seen through behavioral analytics: Scenario  1:  Socializing  with  clients  and  prospects   Row labels User ID count Highly  Confident   18%   Moderately  Confident   17%   Not  Confident   28%   TOTAL   18%   Scenario  2:  Buying  public  stock  of  a  compe8tor   Row labels User ID count Highly  Confident   15%   Moderately  Confident   15%   Not  Confident   13%   TOTAL   15%   Scenario  3:  Interac8ng  with  vendors  
  • 17. The Learning Challenge •  Modern  learners  engage  through  a   variety  of  sources  and  devices,  but   instructor-­‐led  classes  are  s8ll  the  #1   method  for  training.1   •  Employees  spend  an  average  of  33  hours   per  year  on  training.2   •  46%  of  companies  have  trouble  gejng   employees  to  make  8me  for  L&D.1   •  49%  of  companies  have  a  limited  L&D   budget.1   •  Less  than  25%  would  recommend  their   L&D  program  to  peers.1   •  $1,252  spent  per  employee  on  direct   learning.2   •  55%  of  companies  don’t  have  the  8me  or   staff  to  measure  at  Kirkpatrick  levels.3   17 •  Only  6%  of  companies  truly  measure  all   types  of  learning  with  an  eye  on  business   results.3   •  52%  use  a  post-­‐training  quiz  to  measure   effec8veness.   •  Less  than  50%  of  companies  have  the  in-­‐ house  skills  to  analyze  learning  data.  3   •  66%  run  analy8cs  on  no  more  than  half   their  learning  programs.  3   •  60%  share  their  analysis  with  business   leaders.  3   M O D E R N   L E A R N E R S     W A N T   M O D E R N   L E A R N I N G   D E L I V E R   A   P E R S O N A L I Z E D   E X P E R I E N C E   G E T   A C T I O N A B L E   I N T E L L I G E N C E   1  LinkedIn  Learning:  2017  Workplace  Learning  Report   2  eLearning  Industry:  Organiza8onal  Trends  in  Learning  &  Development   3  Brandon  Hall:  2017  Learning  Analy8cs  Study   Bridging  the  gap  between  enterprises  and  their  learners  
  • 18. Technology that connects learning to learners 18 „  Training  specific  to  the  needs  of  the   popula8on,  industry  and  business.   „  Tie  learning  objec8ves  to  desired   outcomes/behavior  changes  by   crea8ng  situa8onal  assessment  that   tests  knowledge  applica8on  rather   than  reading  comprehension.   „  Courses  that  engage  the  learner,   transfer  knowledge  and  drive   behavioral  change  while  genera8ng   meaningful  analy8cs  for  the  business.   „  Learn-­‐by-­‐doing  with  s8mula8ng,   memorable  and  true-­‐to-­‐life  content   and  scenarios  that  increase  long  term   knowledge  reten8on  by  15-­‐20%.  2     „  Technology-­‐enabled  learning   engagement  and  interac8vity  yield   higher  knowledge  acquisi8on.1     „  Use  adult  learning  principles  to  create   engaging  courses  that  capture   aken8on  and  help  retain  new   knowledge  or  skills.   „  Our  analy8cs  data  shows:   •  Total  seat  8me  for  rollouts   reduced  by  15-­‐20%  through   adap8ve  learning  logic.  3   •  On  average  40-­‐50%  of  the   popula8on  saves  10-­‐15  min.  on   the  same  content.  3   •  The  8me  saved  directly  yields   financial  value  and  produc8vity   to  the  business.   Adap8ve  learning  technology  yields…   B E T T E R   A L I G N M E N T     T O   B U S I N E S S   O B J E C T I V E S   M O D E R N   L E A R N I N G   E X P E R I E N C E S   M E T R I C S   T H A T     G E T   A T T E N T I O N   1  Impact  of  Interac8ve  Learning  on  Knowledge  Reten8on   2  Ac8ve  Learning  to  Improve  Long  Term  Knowledge  Reten8on   3  Results  based  on  analysis  of  An8-­‐Corrup8on,  Conflicts  of  Interest  and  Workplace  Harassment  courses  
  • 19. Behavioral Analytics: Beyond Metrics 19 Behavior  intelligence  that  goes  far  beyond  LMS  data   •  Analyze  real-­‐8me  aggregate   performance  to  quickly  iden8fy   knowledge  gaps   •  Benchmark  performance  internally  and   compare  trends  for  various  segments   of  your  organiza8on  to  demonstrate   training  effec8veness   •  Strengthen  knowledge  gaps,  drive   business  outcomes,  and  quan8ta8vely   inform  future  program  design  
  • 20. Thank you Neha Gupta | Chief Executive Officer   True  Office  Learning   neha.gupta@trueoffice.com  
  • 21. #CLOwebinar         Register for the next webinar! The Road Map and Rollercoaster of People, Purpose and Process Wednesday, July 18, 2018 Webinars start at 2 p.m. Eastern / 11 a.m. Pacific Register for all upcoming Chief Learning Officer Webinars at clomedia.com/webinars