Facilitation week seminar (2021 10-23)

October 23, 2021
Data&Story, LLC
Yoshiki Kashiwagi
“Opinions or Facts ”
~ How to utilize data to support your
objective facilitation

A member of “International Association of Facilitators”
2
Copyright reserved @ Yoshiki Kashiwagi 2021
Data & Story LLC, Founder&CEO
Visiting professor, Tama Graduate school of management
Visiting Lecturer, Yokohama National University
Yoshiki Kashiwagi （柏木吉基）
Professional business skill trainer
(Data analysis, logical thinking, problem-solving etc.)
My Profile
Getting the Go-Ahead: Using Statistical
Analysis To Maximize Your Business Plans
Data&Story website:
Linked-In:

3
【Questions】
- What kind of information do you rely on, when you facilitate
a group to get an agreement/conclusion?
- Is it based on objective or subjective information?
- If all the information is subjective, does the conclusion make
a rational sense? (even though it is democratic)
- How would you be able to solve the “subjectiveness” issue?

4
【CASE】
How would you facilitate discussion to reach a goal?
[GOAL] How to solve the sales-decrease issue?
Because we
reduced the
promotion fee.
Because we reduced
the frequency of
web-site updates.
Because our top
sales staff quit.

5
Which is your common approach?
Opinion
Opinion
Opinion
Idea
Opinion
Feeling
Idea
Opinion
Conclusion
Fact
Fact
Fact
Idea
Fact
Fact
Opinion
Fact
Conclusion

Ⅰ. Data as objective information
6
Ⅱ. What can you do with data?
Ⅲ. Basic techniques of Data visualization

Ⅰ. Data as objective information
7

I think/I know xxxxx
The data show xxxxx
Subjective:
Only things you
know.
Objective:
Covering things
you didn’t know
Why do you need data?
8

Why do you need data?
9
Some keywords to differentiate the consequences
Without data
With data
- Subjective
- Objective
- Personal
- General
- Limited/confined
- Comprehensive
- Self-satisfactory
- Persuasive

Creativity vs Realism
10
Need creativity for an innovative solution?
YES, but the creative ideas also must be based on “FACTS”.
Fact
Fact
Fact

11
Ⅱ. What can you do with data?

12
Something really happening
Your personal experience/knowledge
Power of data

13
(A)Evaluation
(B)Causal analysis
Power of data

14
[Question] Is this subjective or objective?
Customer satisfaction is
getting worse significantly.
It is a big problem for us!
2
3
4
5
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Customer satisfaction score
(A) Evaluation

15
2
3
4
5
(Service A)
(A) Evaluation
You make a subjective evaluation(=opinion) without COMPARING
with others.
2
3
4
5
ServiceA
ServiceB
All service average

16
[PROBLEM] Sales revenue is dropping!
(B) Causal analysis
Because we
reduced the
promotion fee.
Because our
top sales staff
quit.
[Question] Which of the three possible causes would you solve?
Because we reduced
the frequency of web-
site update.

17
Sales Cause1 Cause２ Cause３
Result
($000)
No. of sales staff
Promotion
spending
($)
Frequency of
web-site
updates(times/
week)
Jan 5.4 6 4600 7.3
Feb 9.0 12 8000 6.3
Mar 3.5 8 2100 6.8
Apr 6.3 17 5600 6
May 2.6 12 1300 5.3
Jun 4.8 1 2400 7.1
Jul 5.1 7 5300 6.7
Aug 2.9 6 4100 6.5
Sep 5.2 6 6400 7.2
Oct 5.5 16 5400 8.5
Nov 7.4 5 6700 8.1
Dec 7.1 14 6600 6.2
CORRELATION 0.26 0.86 0.22
(B) Causal analysis

Ⅲ. Basic techniques of Data visualization
18

19
Three attributes of data
Value
Ratio
Distribution
How to quantify the information

20
【Distribution】
What is distribution?
Frequency
(No. of data
points)
Entire range of data value
Value of each data point

21
【Example】
- An average score of today’s HR seminar was 3.1 out of 5.
Was it good?
【Distribution】
Why distribution matters?
- You heard that another seminar had got 3.9 last week.
Which seminar was better?

22
【Example】
- Average score of today’s HR seminar was 3.1 out of 5. Was it good?
【Distribution】
- You heard that another seminar had got 3.9 last week. Which seminar was better?
0
4
8
12
16
1 2 3 4 5
Satisfaction score result
Average score = 3.1
0
4
8
12
16
1 2 3 4 5
Satisfaction score result

Subject Attribute
Value
Ratio
Distribution
Objectives
Change/trend
Status
Evaluation/
Comparison
23
Data
Our sales revenue last year was $50,000
Value
Status
Sales
Revenue
data
Service A’s sales revenue has been dropping
Value
Change/
trend
Service
A’s
Sales
Revenue
data
Combinations of the data utilization

24
Value
Satisfacti
on
score
data
Satisfaction score of program A is
higher than that of program B
Evaluation/
Comparison
Combinations of the data utilization

Average
Total
etc.
25
Samples of major graphs
Value
Ratio
Distribution
Change/trend
Status
Evaluation/
Comparison

26
There is no “right” answer
Which one do you think is the best?
[CASE] Do we really spend too much for office cleaning?
0
2
4
6
8
10
12
14
Office
cleaning
Catering Office
supplies
Wireless
Network
enhancement
Renovation
Spending for working environment ($000/month)
[A]

27
32%
13%
5%
24%
26%
Spending for working environment
Renovation
Wireless Network enhancement
Office supplies
Catering
Office cleaning
[B]

28
32%
13%
5%
24%
26%
Spending for working environment
Office cleaning Catering
Office supplies Wireless Network enhancement
Renovation
[C]

29
23% 32%
16%
13%
12% 5%
22% 24%
27% 26%
0%
20%
40%
60%
80%
100%
Last year This year
Office cleaning Catering
Office supplies Wireless Network enhancement
Renovation
[D]

30
Last Questions
- When would you prepare those information when you
facilitate a team?
- How would you collect data BEFORE starting
facilitation/discussion?
- Who do you think is the best to collect/analyze the
data for discussion?
Agenda
preparation
Member
selection
1st
Meeting
2nd
Meeting
A B C D E F

31
Questions?

Facilitation week seminar (2021 10-23)

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