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CLIENT EXIT SURVEY 2

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To identify reasons for dropout. To establish characteristic of drop outs. Research objectives ... Sleepers stand for the biggest group among drop outs; ... – PowerPoint PPT presentation

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Title: CLIENT EXIT SURVEY 2


1
CLIENT EXIT SURVEY 2
PRESENTATION FOR
2
RATIONALE
FOR MDF KAMURJ DROP-OUT MONITORING
3
DROP OUT MONITORING WHAT FOR?
  • Forecasting business planning!
  • Appraising institutional performance
  • Seasonality!!! - analyses magnitude of desertion
    fluctuates over a period of one year.
  • Learn about quality of service (attributes under
    all Ps) in order to respond in a timely manner
    to changes in clients preferences and needs. Not
    waiting for a disaster.
  • Learn about the needs of these groups that leave
    more frequently (or those that are core target
    clientele) adjust the services to their needs.
  • In general product refinement and new product
    development
  • It is linked to competition surviving
    (long-term!) strategy. Those MFIs that will build
    loyal client base will survive on the Armenian
    market.
  • Additional role can be as direct marketing tool
    encouraging people to come back informing them
    about new developments.

4
RESULTS
5
METHODOLOGY
6
WHAT CHALLENGES YOU ENCOUNTERED DURING DATA
COLLECTION?
  • Preparation
  • Interviewing
  • Field staff attitude
  • Costs
  • Difficult questions
  • Coding
  • Branch manager supervision
  • Data input

7
SAMPLE CHARACTERISTIC
8
DROPOUT PROFILE
28 - mixed reasons
  • Dropout profiles are created using two variables
  • Two most important reasons (a4) for dropout
    aggregated into one variable with 4 categories
    MDF Kamurj related reasons, external reasons
    only, client forced out (see next section for
    details).

N213
  • Judgment of interviewer what will be (is) a
    probable behavior of dropouts based on main
    reason for dropout, her current participation in
    financial market and intent to take a loan.

N207
9
REASONS vs. BRANCH AND CYCLE
N213
10
PROBABLE BEHAVIOUR vs. BRANCH AND CYCLE
N207
11
MAIN REASONS vs. PROBABLE BEHAVIOUR
N203
12
MAIN REASONS vs. INTENT TO TAKE THE NEXT LOAN
N203
13
MAIN REASONS vs. BEHAVIOUR
N207
  • Given the new subjective breakdown there are 5
    main dropout profiles/categories (that represent
    93 of all dropouts)
  • voluntary satisfied lost due to external reasons
    30
  • sleepers (both voluntary satisfied and
    dissatisfied not using any other credit services
    planning to come back) 41
  • voluntary dissatisfied eager to return if
    services are improved 4
  • voluntary dissatisfied lost to competition 3
  • forced out 15.

14
CHARACTERISTIC OF PROFILES
Fisher test, at the significance level 0,1
15
MAIN REASONS vs. BEHAVIOUR
N207
  • Given the probable behaviour and main reasons
    there are 5 main dropout profiles/categories
    (that represent 85 of all dropouts)
  • voluntary satisfied lost due to external reasons
    17
  • sleepers (both voluntary satisfied and
    dissatisfied not using any other credit services
    planning to come back) 38
  • voluntary dissatisfied eager to return if
    services are improved 9
  • voluntary dissatisfied lost to competition 4
  • forced out 15.

16
PROFILE vs. BRANCH
17
CHARACTERISTIC OF PROFILES
Fisher test, at the significance level 0,1
18
PROFILE vs. BRANCH
19
MOST FREQUENTLY CITED REASONS
N214
Answers do not sum up to 100, because there was
multiple answer possible
20
MOST FREQUENTLY CITED REASONS BY BRANCH
N214
Answers do not sum up to 100, because there was
multiple answer possible
21
REASONS FOR DROPOUTFORCED OUT CLIENTS
N218
22
FINANCIAL SERVICES USED
N42, using other financial services
N219
23
FINANCIAL SERVICES PROVIDERS USED
19 - uses other sources
Reasons for choosing other MCOs IR Loan size RPM
frequency
n46, using other providers of financial services
24
OTHER FINANCIAL SERVICES USED GROUP
CHARACTERISTIC
Fisher test, at the significance level 0,1
25
INTENT TO TAKE ANOTHER LOAN IN MDF KAMURJ
N219
26
CLIENTS SUGGESTIONS
  • Declining interest rate 37 people
  • New product 34 people. Particularly, individual
    loan was stressed.
  • RPM schedule (not so often) 15 people
  • No reserve fund 7 people
  • Loan size increase 6 people

27
MAIN FINDINGS
  • Sleepers stand for the biggest group among drop
    outs
  • Sleepers seem to be poorer group of clients
  • The second biggest group are voluntary satisfied
    lost due to external reasons
  • The latter group seems to be richer ones
  • Analyzing dislikes and advantages of competition
    the conclusion is drawn that MDF Kamurj
    weaknesses are interest rate, repayment
    frequency and loan size
  • Evidently, some people outgrow out off the
    guarantee system and need individual loans

28
REASONS APPOINTED BY LOAN PROMOTERS
N196
15
2
20
12
47
6
29
DROPOUT PROFILE COMPARISON WITH PREVIOUS WAVE
30
DROPOUT PROFILE COMPARISON WITH PREVIOUS WAVE
31
???
  • Any operational or strategic implications?
  • What are benefits of the dropout monitoring for
    MDF Kamurj?
  • What are the costs?
  • Is it worth doing it?
  • Any ideas how to improve it?
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