+ All Categories
Home > Documents > BEHAVIOURAL APPLICATIONS TO DIGITAL … Africa Lesoth o Swazilan d 3 © Busara 2017 4 ABOUT THE...

BEHAVIOURAL APPLICATIONS TO DIGITAL … Africa Lesoth o Swazilan d 3 © Busara 2017 4 ABOUT THE...

Date post: 01-Apr-2018
Category:
Upload: hoangmien
View: 222 times
Download: 3 times
Share this document with a friend
82
BEHAVIOURAL APPLICATIONS TO DIGITAL FINANCE The Busara Center for Behavioral Economics, CGAP, FSD-Tanzania, and the Global Insights Initiative (GINI) April 27, 2017
Transcript

BEHAVIOURAL APPLICATIONS TO DIGITAL FINANCE

The Busara Center for Behavioral Economics, CGAP, FSD-Tanzania, and the Global Insights Initiative (GINI)

April 27, 2017

© Busara 2017

Advisory Partners Research Partners

ADVISORY Applying behavioral evidence to answer

organizational challenges

The Busara Center for Behavioral Economics is a behavioral research and advisory firm that works to identify core behavioral biases and structure programs, products and policies around these barriers. Our mission is to work with researchers and organizations to advance and apply behavioral science in pursuit of poverty alleviation.

ABOUT BUSARA

RESEARCH Identifying new barriers and unpacking their

mechanisms in emerging markets

2

© Busara 2017

WHERE WE WORK

Busara works to understand the context of decision-making in new markets, with a strong focus in sub-Saharan Africa.

Busara operates permanent offices in Kenya, Uganda, and Ethiopia, but has worked on projects with partners across the continent.

Permanent Presence

Project Presence

Libya

Tunisia

Algeria

Morocco

Western Sahara

Guinea Bissau

Mauritania

Egypt

Chad Niger

Eritrea Sudan

Central African

Republic

Nigeria

Mali Senegal

Liberia

Togo

Cameroon

Ethiopia Somalia

Djibouti Gambia

Sierra Leone

Guinea

Ivory

Coast

Benin Zaire

Uganda

Gabon

Kenya

Burkina

Ghana Equatorial

Guinea

Congo Rwanda

Tanzania

Mozambique

Angola

Zambia

Burundi

Malawi

Madagascar Botswana

Zimbabwe Namibia

South Africa

Lesotho

Swaziland

3

© Busara 2017 4

ABOUT THE PROJECT: THREE OBJECTIVES

Apply behavioural insights and test interventions to better understand what drives uptake and usage for specific mobile money use cases. Examine differences in behaviors relating to mobile money use cases by customer segment, including demographics, geography, and gender. Identify optimal design elements and relevant target audiences to drive rapid scalability.

1

2

3

© Busara 2017

PHASE 1

ABOUT THE PROJECT: THREE PHASES

5

In collaboration with Airtel, determined saving as the mobile money use

case of choice.

© Busara 2017

PHASE 2

6

ABOUT THE PROJECT: THREE PHASES

PHASE 1

In collaboration with Airtel, determined saving as the mobile money use

case of choice.

Conducted research across the country to understand trends and influencers in

Tanzanian saving behaviors.

© Busara 2017

PHASE 3

7

ABOUT THE PROJECT: THREE PHASES

PHASE 2 PHASE 1

In collaboration with Airtel, determined saving as the mobile money use

case of choice.

Conducted research across the country to understand trends and influencers in

Tanzanian saving behaviors.

Ran two experiments on a digital saving platform to

understand how interventions influence

saving behaviours.

© Busara 2017

EXPERIMENTAL RESULTS: MEASURING PREFERENCES FOR PRODUCT FEATURES

NEXT STEPS

EXPERIMENTAL RESULTS: TESTING SMS NUDGES FOR MOBILE SAVING

RECAP: TRENDS AND INFLUENCERS IN TANZANIAN SAVING BEHAVIORS

8

© Busara 2017

HOW DO TANZANIANS SAVE?

A RECAP OF FINDINGS FROM EXPLORATORY RESEARCH

9

© Busara 2017

THE APPROACH

QUALITATIVE INTERVIEWS TIMELINE: August – December, 2016. SAMPLE: ~150 participants. LOCATIONS: Dar es Salaam, Arusha, Dodoma, Lindi. FOCUS: Perceptions of saving on mobile accounts, behavioral insights in to mobile saving, triggers and barriers to mobile money use. METHODS: Focus group discussions, individual interviews, behavioral narratives.

10

© Busara 2017

THE APPROACH

QUANTITATIVE SURVEYS

TIMELINE: August – October, 2016. SAMPLE: ~500 participants. LOCATIONS: Dar es Salaam, Arusha, Dodoma. FOCUS: Summary statistics on: (i) saving habits, (ii) saving preferences, (iii) willingness to take risks, (iv) patience, (v) financial literacy.

11

12 © Busara 2017

GLOBAL THEMES

12

Aspirational thinking

Social networks

Trends

Women’s Financial

Status

Saving to Mitigate

Risk

Locus of Control

Household Dynamics

Getting Trustworthy Information

Agency

Mental Accounting

Trust and Risk

Conceptuali-zing Risk

Social Influence

Saving for emergencies

Goal based saving

Social Norms

Myths and Misconceptio

n's

13 © Busara 2017

GLOBAL THEMES

13

Aspirational thinking

Social networks

Trends

Women’s Financial

Status

Saving to Mitigate

Risk

Locus of Control

Household Dynamics

Getting Trustworthy Information

Agency and Control

Mental Accounting

Trust and Risk

Conceptuali-zing Risk

Social Influence

Saving for emergencies

Goal based saving

Social Norms

Myths and Misconceptio

n's

Trust and

Risk

Agency

Mental Accounting

Social Influences

© Busara 2017

PRIORITY THEMES

Agency

Trust and Risk

Social Influences

Mental Accounting

© Busara 2017 © Busara 2017

MENTAL ACCOUNTING

•  Peoples’ preferred savings medium are associated with their reason for saving.

•  Individuals typically use different channels to save depending on whether it is for a specific goal or for keeping excess money for emergencies.

15

0%

10%

20%

30%

40%

50%

Bank Mobile Money Kibubu

Rela

tive

Popu

larit

y fo

r Sav

ing

Reas

on b

y Sa

ving

s Med

ium

Savings Medium

REASONS TO SAVE BY PREFERRED SAVINGS MEDIUM

Start/Improve Business Education for Children Medical Emergency

© Busara 2017 © Busara 2017

AGENCY

•  An individual’s perceptions of the agency and control they have over events seem to be associated with their preferred medium for saving.

•  Perceptions of control vary by gender.

16 © Busara 2016

0%

10%

20%

30%

40%

50%

60%

70%

Bank Mobile Money Kibubu

% o

f Res

pond

ents

per

Pre

ferr

ed

Savi

ngs M

ediu

m

Savings Medium

PERCEPTION OF CONTROL BY PREFERRED SAVINGS MEDIUM

Low Mid High

0%

10%

20%

30%

40%

50%

60%

Low Mid High

Inte

rnal

Loc

us o

f Con

trol

By

Gend

er

Locus of Control

INTERNAL LOCUS OF CONTROL BY GENDER

Male Female

© Busara 2017 © Busara 2017

TRUST AND RISK

•  There is no saving medium that is universally considered “the most trustworthy”.

•  Individuals express trust in whichever

saving medium they use most actively.

17

”[Saving in the bank is safest] because when someone takes the phone and the password is known then the money can be stolen." Male respondent, Dodoma environs

“[Mobile money is] one of the best ways to save money and it is a safe method to keep money. In case you lose

your phone...you can get your money after renewing the line.”

Male respondent, Arusha environs

”[The safest money is that which is] saved under the mattresses, when sleep you [are] sure that your money is under you but MPESA you never know may be someone has noted your passwords.” Male respondent, Arusha environs

© Busara 2016

© Busara 2017 © Busara 2017

SOCIAL INFLUENCES

•  Social norms, networks and trends seems to influence people’s savings behaviors and the channels they use to save.

•  In Dodoma and Arusha, mobile money (as

primary savings channel) is largely associated with people with little or no formal education, whereas saving through formal banking channels is associated with higher education.

18

”Rich people or people with high income [save on mobile money platforms]. Poor people save under mattresses.” Male respondent, Arusha environs

“Saving is for rich people, since I do not have money I cannot save.”

Male respondent, Dar es salaam

© Busara 2017

TWO EXPERIMENTS

1.  TESTING SMS NUDGES FOR MOBILE SAVING

•  550 participants. •  Measured the impact of various SMS

reminders on mobile saving rates. •  Applications to SMS messaging approaches

for encouraging customer engagement.

2.  MEASURING PREFERENCES FOR PRODUCT FEATURES

•  200 participants. •  Measured the impact of varying product

features on customer preferences for products. •  Applications to marketing strategies for mobile

saving products.

19

vs.

?

© Busara 2017

TWO EXPERIMENTS: STUDY PARTICIPANT PROFILE

20

0%

10%

20%

30%

40%

50%

60%

18-25 26-35 36-45 46+

AGE GENDER

Male Female Male: 47% Female: 53%

© Busara 2017

TWO EXPERIMENTS: STUDY PARTICIPANT PROFILE

21

0%

10%

20%

30%

40%

50%

60%

Primary and Below

Secondary College and Above

EDUCATION

0% 5%

10% 15% 20% 25% 30% 35%

Multiple times a

day

Once a day

2-6 days per week

Once in a week

Once in a month

Once in 3 months

FREQUENCY OF MOBILE MONEY USAGE

© Busara 2017

TWO EXPERIMENTS: LOCATIONS OF RECRUITMENT

22

© Busara 2017

HOW TO ENCOURAGE MOBILE SAVING?

TESTING SMS NUDGES ON SAVING BEHAVIOURS

23

© Busara 2017

APPROACH

24

EX

PE

RIM

EN

T 1

QUESTION: !“How does varying SMS-based communication influence mobile saving behaviors?” !

© Busara 2017

APPROACH

25

Using their mobile phones, Participants interact with an SMS message system over 14 days.

1.

EX

PE

RIM

EN

T 1

OVERVIEW:

© Busara 2017

APPROACH

26

EX

PE

RIM

EN

T 1

OVERVIEW: Each day participant are required to send an SMS message at a particular time in order to earn income.

2.

© Busara 2017

APPROACH

27

EX

PE

RIM

EN

T 1

OVERVIEW: Once they earn income, the system asks how much they would like to deposit in to a digital saving account that would earn them interest.

3.

?

© Busara 2017

APPROACH

28

EX

PE

RIM

EN

T 1

OVERVIEW: Participants are randomly allocated to five groups. Four of the groups are sent reminder SMSs at 4 points throughout the 14 day period reminding them to save. One group (pure control) does not.

4.

SMS SMS SMS SMS

© Busara 2017

APPROACH

29

EX

PE

RIM

EN

T 1

OVERVIEW: We measured their saving behaviours over the 14-day period.

5.

? ? ? ? ?

© Busara 2017 30

PURE CONTROL GROUP: NO SMS MESSAGES

INTERVENTION DESIGN

4 INTERVENTION GROUPS: VARIATIONS OF SMS

MESSAGES

EX

PE

RIM

EN

T 1

© Busara 2017

INTERVENTION DESIGN

31

•  Social Influence

Mental Accounting

Social Influences

Trust and Risk

Agency

The interventions included a “control” SMS, and three variations of the SMS that were inspired by behavioral themes found during our exploratory data

collection exercise.

EX

PE

RIM

EN

T 1

© Busara 2017

INTERVENTION DESIGN: INTERVENTION 1

32

•  Social Influence

Mental Accounting

Social Influences

Trust and Risk

Agency

Control SMS

Hi. Remember

to save today with your

Busara account!

EX

PE

RIM

EN

T 1

© Busara 2017 33

•  Social Influence

Mental Accounting

Social Influences

Trust and Risk

Agency

Hi.!Save!more!and!have!greater!control!over!

your!money!and!your!life!!

Remember!to!save!today!with!your!Busara!account!!

Agency SMS

INTERVENTION DESIGN: INTERVENTION 2

EX

PE

RIM

EN

T 1

© Busara 2017

Agency

34

•  Social Influence Social Influences

Trust and Risk

Mental Accounting

Hi.!Remember!to!save!for!{!}!!today!with!your!Busara!{!}!account!!Every!shilling!saved!

gets!you!closer!to!your!goal!!!

Mental Accounting SMS

INTERVENTION DESIGN: INTERVENTION 3

EX

PE

RIM

EN

T 1

© Busara 2017

Agency

35

•  Social Influence

Mental Accounting

Trust and Risk

Social Influences

Hi.!The!successful!savers!in!your!group!have!a!savings!balance!of!%!!Remember!to!save!today!with!your!Busara!account!!

Social Influences SMS

INTERVENTION DESIGN: INTERVENTION 4

EX

PE

RIM

EN

T 1

© Busara 2017

WHICH INTERVENTION WAS THE MOST EFFECTIVE?

36

© Busara 2017 37 © Busara 2017

1. Participants nudged with SMS messages emphasizing saving balances of strong savers within their group saved at a higher rate compared to the control.

2. Participants nudged with SMS messages emphasizing a sense of agency saved at a lower rate compared to the control.

RESULTS:

© Busara 2017

RESULTS: DATA AND VISUALIZATION

38

Hi. The successful savers in your group have a

savings balance of %! Remember

to save today with your Busara

account!

Hi. Save more and have greater

control over your money and your

life! Remember to save today with

your Busara account!

VS.

SOCIAL INFLUENCE MESSAGE

AGENCY MESSAGE

EX

PE

RIM

EN

T 1

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

Agency Control SMS Pure Control Mental Accounting

Social Influence

% AVERAGE AVAILABLE MONEY SAVED PER DAY

© Busara 2017

RESULTS: DATA AND VISUALIZATION

39

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

Agency Control SMS Pure Control Mental Accounting

Social Influence

% AVERAGE AVAILABLE MONEY SAVED PER DAY

Hi. The successful savers in your group have a

savings balance of %! Remember

to save today with your Busara

account!

Hi. Save more and have greater

control over your money and your

life! Remember to save today with

your Busara account!

VS.

SOCIAL INFLUENCE MESSAGE

AGENCY MESSAGE

EX

PE

RIM

EN

T 1

© Busara 2017

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

Agency Control SMS Pure Control Mental Accounting

Social Influence

% AVERAGE AVAILABLE MONEY SAVED PER DAY

RESULTS: DATA AND VISUALIZATION

40

Hi. The successful savers in your group have a

savings balance of %! Remember

to save today with your Busara

account!

Hi. Save more and have greater

control over your money and your

life! Remember to save today with

your Busara account!

VS.

EX

PE

RIM

EN

T 1

SOCIAL INFLUENCE MESSAGE

AGENCY MESSAGE

© Busara 2017

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

Agency Control SMS Pure Control Mental Accounting

Social Influence

% AVERAGE AVAILABLE MONEY SAVED PER DAY

RESULTS: DATA AND VISUALIZATION

41

EX

PE

RIM

EN

T 1

If a pair of individuals had 4000 TSh of excess cash a day, the

individual who received the Social Influences intervention would save

12,000 TSh more per month than the individual who didn’t receive an intervention SMS.

© Busara 2017

The wrong message can be worse than no message. Always test with a small sample before scaling up.

42

RESULTS: IMPLICATIONS

Comparing customers’ savings balance with others in a social group may increase mobile saving.

EX

PE

RIM

EN

T 1

© Busara 2017 43

LEVERAGING SOCIAL GROUPS E

XP

ER

IME

NT

1

STEP 1 ! STEP 2 ! STEP 3 !

Comparing customers’ savings balance with others in a social group may increase mobile saving.

© Busara 2017 44

LEVERAGING SOCIAL GROUPS E

XP

ER

IME

NT

1

STEP 2 ! STEP 3 !

Comparing customers’ savings balance with others in a social group may increase mobile saving.

STEP 1 !

Generate “customer profiles” using transaction and other administrative data.

© Busara 2017 45

LEVERAGING SOCIAL GROUPS E

XP

ER

IME

NT

1

STEP 3 !

Comparing customers’ savings balance with others in a social group may increase mobile saving.

STEP 2 !STEP 1 !

Craft messaging that draws on typical behaviors exhibited by

that customer profile.

© Busara 2017 46

LEVERAGING SOCIAL GROUPS E

XP

ER

IME

NT

1

STEP 1 ! STEP 2 ! STEP 3 !

Comparing customers’ savings balance with others in a social group may increase mobile saving.

Roll out SMS communication at key points, i.e., one week after first deposit is made / before customer has made first saving transaction / if saving balance is at a relatively low point.

© Busara 2017 47

LEVERAGING SOCIAL GROUPS: TWO APPROACHES

Hi! Did you know that other Airtel Money users like

you are saving an average of x

TSh a week? Don’t lag behind

the group. Remember to

save.

SOCIAL INFLUENCE MESSAGE

EX

PE

RIM

EN

T 1

© Busara 2017 48

LEVERAGING SOCIAL GROUPS: TWO APPROACHES

EX

PE

RIM

EN

T 1

1.  Identify existing groups amongst customers. 1.

1.  Use transaction data to construct groups amongst customers. 2.

© Busara 2017 49

LEVERAGING SOCIAL GROUPS: IDENTIFY EXISTING GROUPS

EX

PE

RIM

EN

T 1

Hi! Did you know that other Airtel Money users in

your district save an average of x

TSh a week? Don’t lag behind the

group. Remember to save.

Hi! Did you know that other Airtel

Money users who use your agent save an average of x TSh a week? Don’t lag behind

the group. Remember to

save.

Rural Customers Urban Customers

LOCATION-BASED GROUPING:

© Busara 2017 50

LEVERAGING SOCIAL GROUPS: IDENTIFY EXISTING GROUPS

EX

PE

RIM

EN

T 1

Hi! Did you know that other Airtel

Money users who registered at the

same time as you save an

average of x TSh a week? Don’t lag

behind the group.

Timing of opening account

TIMING-BASED GROUPING:

© Busara 2017 51

LEVERAGING SOCIAL GROUPS: USE DATA TO CONSTRUCT GROUPS

EX

PE

RIM

EN

T 1

Hi! Did you know that other Top Savers like you save an average of x TSh a week? Don’t lag behind

the group. Remember to

save.

Use transaction data to construct group identities and encourage a

sense of belonging.

Hi! Did you know that other

Premium Users like you save an

average of x TSh a week? Don’t lag

behind the group. Remember to save.

“Top Savers”: >10,000TSh maintained for 2 weeks

“Premium Users”: >2 transactions a week

© Busara 2017

BRAINSTORM

Source: Icon by Bernice Beltran, The Noun Project

What social patterns do we have access to? What do we think would be part of customer's identity?

52

© Busara 2017

HOW TO ENCOURAGE MOBILE SAVING?

MEASURING PREFERENCES FOR SAVINGS PRODUCT FEATURES

53

© Busara 2017

MOTIVATION

54

•  Social Influence

Mental Accounting

Social Influences Agency

EX

PE

RIM

EN

T 2

Trust and Risk

© Busara 2017

MOTIVATION

55

•  Social Influence

Mental Accounting

Social Influences

Agency

During our exploratory data collection, we found that there is no saving medium that is universally considered “the most trustworthy”. Individuals

express trust in whichever saving medium they use most actively.

EX

PE

RIM

EN

T 2

Trust and Risk

© Busara 2017

MOTIVATION

56

•  Social Influence

Mental Accounting

Social Influences

This suggests that choice of saving product may not always reflect true preference for the product, but rather the information most readily

available and accessible about the product.

EX

PE

RIM

EN

T 2

Agency

Trust and Risk

© Busara 2017

APPROACH

57

EX

PE

RIM

EN

T 2

!1.  “How do customers value common

features of saving products?” 2.  “Are customers more likely to prefer

a ‘wrong’ savings product when presented with a complex choice?”

!

QUESTIONS: vs. vs.

© Busara 2017

APPROACH

58

Participants are presented with a list of eight features of savings products:

Security

Accessibility

Privacy

Convenience

1.

OVERVIEW:

EX

PE

RIM

EN

T 2

vs. vs. Interest

Check Balance

Language

Fees

© Busara 2017

APPROACH

59

2.

OVERVIEW:

EX

PE

RIM

EN

T 2

vs. vs.

They are asked to rank these product features against each other and provide a weighting for each:

Security

Accessibility

Privacy

Convenience

Interest

Check Balance

Language

Fees

1.

5.

7. 8.

3.

2.

4. 6.

© Busara 2017

APPROACH

60

3.

OVERVIEW:

EX

PE

RIM

EN

T 2

vs. vs.

We used these weightings to create variations of savings products for each participant.

+

-

+ +

-

-

+ +

-

-

- +

-

+

+ +

vs.

© Busara 2017

APPROACH

61

4.

OVERVIEW:

EX

PE

RIM

EN

T 2

vs. vs.

We varied the complexity of the choices to see whether the selection best matched their preferences.

+

-

+ +

-

-

+ +

- - -

+ -

+ +

+

vs.

© Busara 2017 62 © Busara 2017

1. Participants valued the feature of Privacy the most. They valued Security the least.

2. Participants were able to understand product features and place value on them. Even so, they generally struggled to make the choice that matched their preferences.

3. The more features participants had to compare, the more likely they made an active choice between product options. However, they were also more likely to make a sub-optimal choice.

RESULTS

© Busara 2017

RESULT 1: DATA AND VISUALIZATION

63

EX

PE

RIM

EN

T 2

0% 2% 4% 6% 8%

10% 12% 14% 16%

AVERAGE % OF POINTS ALLOCATED RESULT: Participants valued the feature of Privacy the most. They valued Security the least.

© Busara 2017

RESULT 1: DATA AND VISUALIZATION

64

EX

PE

RIM

EN

T 2

0% 2% 4% 6% 8%

10% 12% 14% 16%

AVERAGE % OF POINTS ALLOCATED PRIVACY: “Only you and Busara will know about the money in this account.”

vs. “Selected family and friends will be informed about the amount of money in this account.”

SECURITY: “3 out of every 100 people will lose half of their money.”

vs. “2 out of every 100 people will lose half of their money.”

© Busara 2017

RESULT 2&3: DATA AND VISUALIZATION

65

EX

PE

RIM

EN

T 2

RESULTS: Participants were able to understand product features and place value on them. Even so, they generally struggled to make the correct choice for themselves. The more features participants had to compare, the more likely they made an active choice between product options. However, they were also more likely to have made a sub-optimal choice.

30%

35%

40%

2 Features 5 Features 8 Features

SUBOPTIMAL CHOICE

0% 10% 20% 30% 40%

2 Features 5 Features 8 Features

RANDOM CHOICE

© Busara 2017 66

RESULTS: IMPLICATIONS

Help customers make the right choice by highlighting specific differences between your products and rival products.!

EX

PE

RIM

EN

T 2

Emphasizing differences between a higher number of features may engage customers, but may not support their ability to choose a product that reflects their preferences. !

© Busara 2017

BRAINSTORM

Source: Icon by Bernice Beltran, The Noun Project

67

Drawing on existing Airtel Money marketing strategies, how could these two findings apply?

ReBphrase!this!

© Busara 2017

NEXT STEPS

68

© Busara 2017

NEXT STEPS

Source: Icon by John Winowiecki, The Noun Project

69

© Busara 2017

QUESTIONS ? 70

© Busara 2017

THANK YOU

© Busara 2017 71

© Busara 2017

APPENDIX: FURTHER DETAIL ON EXPERIMENT 2

72

© Busara 2017 73

Participants are presented with a list of eight features of saving products:

Security

Accessibility

Privacy

Convenience

1.

vs. vs. Interest

Check Balance

Language

Fees

FULL DESCRIPTION OF EXPERIMENT 2

© Busara 2017 74

They are asked to make a preference between two options for each of the product features:

Security

Accessibility

Privacy

Convenience

2.

vs. vs. + vs. - ?

+ vs. - ?

+ vs. - ?

+ vs. - ?

FULL DESCRIPTION OF EXPERIMENT 2

© Busara 2017 75

3.

vs. vs.

They are asked to rank preferred versions of the product features against each other:

Security

Accessibility

Privacy

Convenience

Interest

Check Balance

Language

Fees

1.

5.

7. 8.

3.

2.

4. 6.

FULL DESCRIPTION OF EXPERIMENT 2

© Busara 2017 76

4.

vs. vs.

They are presented with three pairs of saving products, where each product is described using a combination of the product features. They are asked to choose which they would prefer for each pair. If they choose not to make a decision, they have the option to skip.

+

-

+ +

-

-

+ +

-

-

- +

-

+

+ +

3x vs.

FULL DESCRIPTION OF EXPERIMENT 2

© Busara 2017 77

5.

vs. vs.

The pairs of saving products are described in such a way that it is relatively easy to make a choice for one pair, relatively difficult for the second pair, and somewhere in-between for the third pair.

-

-

+ +

-

-

+ +

-

-

- +

-

+

+ +

3x vs.

FULL DESCRIPTION OF EXPERIMENT 2

© Busara 2017

FULL DESCRIPTION OF EXPERIMENT 2

78

6.

vs. vs.

Level of difficulty is determined by how many of the product features the participant is required to consider whilst making their decision.

-

-

+ +

-

-

+ +

-

-

- +

-

+

+ +

3x vs.

© Busara 2017

FULL DESCRIPTION OF EXPERIMENT 2

79

7.

vs. vs.

The “easiest” product pairing are described almost identically, with variations in description between only two of the product features.

-

-

+ +

-

-

+ +

-

-

- +

-

+

+ +

vs.

EASY

© Busara 2017

FULL DESCRIPTION OF EXPERIMENT 2

80

8.

vs. vs.

The most “difficult” product pairing are described entirely discrepantly.

-

-

+ +

-

-

+ +

+

+

- -

+

+

- -

vs.

DIFFICULT

© Busara 2017

FULL DESCRIPTION OF EXPERIMENT 2

81

9.

vs. vs.

Given their initial valuations of the product features, we measured the rate at which participants made the “wrong” choice between the options as they had to consider more and more features.

-

-

+ +

-

-

+ +

+

+

- -

+

+

- -

vs.

?

© Busara 2017 82

DESCRIPTIONS OF PRODUCT FEATURES USED IN EXPERIMENT 2

 

Security Accesibility Privacy Convenience Interest Check Balance Fees Language

Dominant

3 people out of every 100

people that save in this

device will lose half of their

money.

There is a period of seven days in which you

cannot touch your money, but once the

waiting period is over you can withdraw the

money at any time between 8 am to 5 pm

Monday to Friday.

Nobody but the participant and

Busara will be aware that you earned

money which is held in one of our

devices.

After the waiting period is over we

send the money to your mobile money

account, or any other mobile money

account that you request to send us.

4 people out of every 5 will get

paid 4% daily until the they decide to

withdraw the money from the savings device.

Participants can check their balance once a day between

8 am and 5 pm during the time

frame that we keep the money.

There is a 2% fee that will be charged when you withdraw your money.

All the messages and conversations revolving around

this savings device should be in

Swahili.

Dominated

2 people out of every 100

people that save in this

device will lose their money.

There is a period of seven days in which you

cannot touch your money, but once the

waiting period is over you can withdraw the

money at any time between 8 am to 12 pm

Monday to Friday.

Selected family and friends will be called by Busara staff and

notified that the participant has partaken in an

experiemnt, where she earned TZS X,

which she has stored in a device with us.

After the waiting period is over we canonly send the

money to your mobile money

account.

The participant will get paid 2%

daily until the they decide to withdraw the

money from the savings device.

Participants can check their balance once a day between

8 am and 12 pm during the time

frame that we keep the money.

There is a 4% fee that will be charged when you withdraw your money.

All the messages and conversations revolving around

this savings device should be in

English.


Recommended