Speech Transcript - Sharing Knowledge at The MCC

she wishes it is

actually to right

actually in three years there

as there are five percent for administration and finance and their c o r and

their march

you know responsibility i also have the data so i was very

happy and we have lots of fun getting c one

i checked their agency well

but it because the

the data we use evidence that

you

off to do or who correctly that were very fortunate to have body of data

but also i

the next and its own organisation data was structure

partly to start off

i'll just kind of go to the

or the friends he and making good but there are some questions such a if

you guys here

so use of evidence by the way this task

i used quite a bit in

so what for asking for one

for i don't be around the time we present it was very interesting evidence evaluation

so i'll make a hundred million dollars for a while but you request

i understand

but separated but getting out of the structure there especially this kind of textures

but i use this deck

to help with that a that sort of what source worldwide would actually looking for

what is that

the use of

average very fascinated by

i would still

really

i it starts off with respect programming for country selection to that's the decisions to

a one or two evaluation and the evaluation two quantities in more detail

but it is really is well

stuff

what

and c

also with the

each country to be a little so that we're looking here on the with the

big rate countries will incorporate the one that will call a and they have to

compete against each other a thing is twenty six criteria

these criteria indicators for actually therefore it is not in scenes

a lot of it is more like a greater

a transparency international us to types of data is that they have to ask

a one indicators a but there are two for rules

each of the countries that the past i think that the score above the median

power control corruption and the control corruption indicators or actually very interesting a set of

data for corruption and then they also must press the virtual or local rise for

solidity so they have elected

so there's take a look at

a country much i just a little bit this morning by the way with f

one fifty are the indicators

next we use the mc work but in removing selecting countries using the score

scorecard also channel you can see in three categories its economic freedom investing in people

who justly

also economic real it really is all about how we manage their economy

and how easy is it is this

there so we use a lot of the right

so do this is relevant where quality three policy all that

but

what's interesting here is to have a real focus on gender

you can see there's there are trained and i met i see on a card

ran rights you know course hounds in use it to start a business can you

see

can

and then investigated people probably there are

education primary education expenditures

right

also a girls verification mission

rates

so those are your at least one indicators were

just be adjusted about

we years ago

quite a lot of

indicating syllable source side of all indices

request will just against the political rights and it's a rings

i have

okay

at least one

and then they have to pass you can see how

three buckets

control corruption democratic rights and it has to be green in all three

i am able to for instance

right so

our current research has to

so i is green a and we're

we are going into the second column

a five hundred million dollars focus on

electricity how

okay power africa

the power of the country

strikingly

yes selections i so every year we take

a greater you can see unesco don't we don't know

three vowels

really nice so it is interesting in that

this problem of data

was the first set of data that i actually got open data or instance i

go over there is data is now available machine around with it

what brings with it

a police or report data so some of these data

what is actually so we have to pay

okay so there is no variation of are not so we can retire overall there's

yes

we or something but it's a pretty good

several

very rich set of data that you can download a we have about all three

years with this thing that l

and

i talked to some

one residual like a

a courthouse on your right that there are variations looking into classes were held in

american companies

invested in africa not get rescored hearts zero approval for them to say hey you

know but this was channel is only using this now the

means of units

that is

of course

you know each investment has it all

challenges for

a due diligence

so that's selection and wore a race

the what makes a decision based on that

score or by consider your you have to actually has this work or your

in the middle of

you know

providing for example while we're actually developing a for example we have

zero at all

still there is

we did what challenge for both right now but

a serial

where all the way it has the second here the words is

they don't

well we may not want to go best easily lost

opening a has this work or moreover over until the last year

begin

and it's the control corruption indicate that

according to the speaker is very interesting in that a uses their the beginners therefore

indicated that it's a lot of stress

going to sort of the

perception

did you pay bright or contestants how thinking it shows you have to be

to get classes

so those

a perception kind of questions are very you know if there's of states

in the country

that could sway people's perception so

these

to one indicated very challenging the amount is not

their robust

in the united states

it's united states have a i mean they're herself

but you would be that are covered i

i think there is really less challenges i

as well so anyway so once what makes a decision

there were gonna

go and develop a compact we with the country way to go through what we

call use investment decisions

of course is constraints analysis it's really

i think it's will big condom is

that this is true where i five within the country one of the

major constraint but only constraints that go

is it is it the error

these

but we used a constraint analysis or on a website so i would urge you

guys to go into work is

but

basically holding in or is it

is it will is infrastructure rules that the you know why constraint in six is

the power something that is

well in sometimes it is all of the about

that's

is it human development might be george of we also they

i think work with the very

of the regional banks but also will think in hoping us

and this has a lot conversations with those of society

all right

a kind of like you just the purest but increases strategy to what we option

strategies i hope that the whole process

well

it is there was a canonical

one of the binding constraints to a canonical so it also for example the biting

constraint what's motes

so were

our second call heifetz focus on rules

in the structure

a lot of it is infrastructure okay it tractable commodities is also a situation but

so it was also

is described in a crime that the big issue

it's not a

in r o in indices whole competency two point so we

right

the others

i think your

but so we do the straight analysis

there is a was unchanged analysis time do what we call program logic

once we determine what the sectors or

and then what with the country's one where you can with this sectors where

we put of o

what makes sense i that's working with the country and civil society there

once

that's done then

the low is what we call this program logic at the same as a as

well right you know that

what are used laughing and now it's a one

the results are exactly the same thing right

and if you can

see most

it is harder for you get to you know what's outputs are very easy you

need to me it immediately outcomes are easy

getting into me you

outcomes of a little bit harder

so we look at this design about this particular example was about the performers training

you know the right project

in me you

outcomes was is that option of improve practise this one and l o and cultures

a terms of a cultivated using i am cross

but most

don't or stop there

we tried you go beyond that increasing crowd you increasing for me

and then you on that we actually go to

household income this is where the impact evaluation

comes in this household income probably option so

this is

that's the pork

i are far right actually should is it is due to what you in so

we try to a

with

what are the

hi is the number of the impact evaluation of people you know

actually

when a little bit to fourteen what impact evaluating everything

test

it also that's okay

so can only a cost benefit analysis

for each proposed project

estimating income

the council income

and then

making sure we have some

it's ten percent is the error rate of economic we turn

a more goal to do without that

okay now turn so this particular example sinking their a financial sector before

monica modeling

so this one and i mean in a really trying to ten twenty eight so

in this work with or we can only

sometimes

a in is the vice president

the on the in your the investment management committee so as to some of these

sometimes projects as

like any other there might be useful be useful thing we have some challenges of

on the in so we are always looking at exact not very true and s

changes to the scroll

of course of the project

one way to a the compact ones that is this i will go to a

compact

you got to the compact as well as about

twenty seven months in the coffee

and then you five year statutorily in as well

the compact itself it can only last by so once we store once we signed

a what we call the intrinsic force

entry into force but

i one

it's five years

if you don't position five years

we take our money

we don't likes that we can i say

and it's been several experiences we have money table

mozambique

you know specifically

some of the boat image so

it's a it's a pretty there is a two

like i well

i the you know what would happen issue

the one was uncertainty all the equipment once

i thank dr

the conveyor belt and

to the i t one

we have it should be more ball

the building

it's a little to the catch one to some situations where are the problems

organisation where you sure infrastructure to actually projects in a given i do if you

don't do not work six

so that's why the twenty seven months of the three

create a high is the mean what we

mean for that

and that's there is some question about

whether

this is the rime

since all and also is actually a good experience in some countries it may not

be me you for the t

icily and putting exactly the together this whole

a challenge cat

quite a higher c you think of word you're so it is actually a starter

or station their role in which they can count

and that the it it's pretty a insulated

implementing agency

the four

and we have some c in

onboard hardly

select years ago seattle

somewhat i mean it it's

a lot of it is it can be ownership

you know that it can choose but what c

the more have some six years

so i

to see but i really high

but also

is not so

but here we can also had to what is that all the is this variation

and cancer are selected it is not part of the

countries

it wasn't system or anything

but it

there's

what questions about the show

it is interesting to talk case we finished or

gonna one compact

i three

couple years ago

and the five o'clock was ready now be more finishing the roots and i remember

was my around my first

wonder so what i started at n c

the cu all set

okay although you clearly show

and by golly dekai the in the in the role of a right to somewhere

used to take four hours now i think what about minutes some like that

and i and what are you when you the ribbon cutting came home moniker planning

with the guinea

and he was talking about how great it was easy to but people were out

there now

and they finished is so

the five o'clock is

a low

more so

maybe stretching

education

you education

well sometimes what are the intermediate outcomes the required word get two thousand two hundred

this is just the all so it seems to be that there are a set

of intermediate come

writing of the ultimate

that are more data capacity building and those kinds of things that should be articulated

you know early on as if you're gonna get to the ultimate goal you have

to worry about you are here in achieving these goals in those to be really

we articulate "'cause" this is kind of this like the model from came here from

here because you don't have the rules to get the also so those so i

think that you're evaluating each year utterances real key part of the system and then

what goes in there

a given context we can be critical i think

as we know what you interval actually able to start the car

these indicators change over time and it is not a set take the here

is sometimes

don't have those

how many kilometres of role bill or how many i teachers training right so the

intermediate what are those indicators that i two m h m what michael this absolutely

one second here is so that we think it'd i for their remote control

did you are ways of taking what you are experiencing finding it also or

i think that's where a lot of our struggle we talk about how we do

that i project or

you may not successful what between our

what can to some woodworking or better because of what right and it's more than

canadians helping salvadorian is not you know us we also yes so we actually spent

a lot of money one time

doing what we call apologist we don't here we go there is we bring them

altogether the teams

recall

color channel or silences we you have a college we have

while reevaluation college infrastructure college system

explicitly sell or what

from a low parallel

and just

crashed colleges

one thing here we do you know because it's not just

however the role but it's all the legal framework around it all the procurement

a process these around it

all the financial

you know

requirements around it so this

it's a whole systems approach right

it's not just

but we probably don't well as

see for i think

as well

right

question so something to

the sudanese experience

and the end of the five years for different points

i assume there are

reports this method a description the process are regarded where we are in our next

and so far questions what those reports selves i two other

project so the convex i use because what the world a file was that all

these reports just sit there and initial right and it is that your experiences

you knowledge management is big challenge also

i mean you guys

do the sectors right presumably the sectors or are supposedly

you know

sure you know which allows smells post i

we try to as well as actors but it's also we was very interesting

that

organisation that they started to do implementation

it can go in the first time i don

the use that

system the design that wow this is a good where you can we

infrastructure

we also sell the side key that new but one

building durable

you the other people's money and were successful

annotation you guys and that's right speech recognition process so if you is running time

you are

so once i is a

this paper and cc that i

i will have one next year using it as the

and you procurement into fiction

so we see that role success and that could be share this

with

other

of the countries that are you know

of doors the same thing

so on

it all their say just dissolve

it so what secret sauce a that the el salvador have a lower

anyway so you are hours the country's create these your

we know

you don't do these ourselves so a lot of it is kind

process used

we have more statistics is already way i

but anyway so

there is also beneficiary analysis

we estimate you know specific income across

regions the cross gender

it's very interesting we do these constraints that i thought i

two other process easier to analysis that you while the constraints analysis

what is

a gender

gender analysis what

or their particular

issues with that country that l

it is down to a base

as it is a very much should focus on genders

maybe other

analysis that do is privacy their what are the six

because we're as not a good enough that politics but what are these projects that

to secure investments

so these are the beneficiary

analysis

very conscious

i'm wondering silences

and they're so

what is not a condom is cost a that no

i understand i

but

are there is a large economic t that looks at

looks at all of these things their hopes that the countries

would

how much work are how

this

i these projects

specific projects this one is

education project is you can see

i guess but many researchers depending on how big the

small hundred employee three under how many three i was

right that's by

there was about twenty one

how were used every structured around thirteen or is expressed in this country out there

are some similarities are it's supposed to be you know when it is easy to

create

supposedly you

a lot of money to these countries

go and

where just gonna an oversight

what has worked out that way i

it doesn't quite work you have to be it i will all the way you

use of something about some confidence all process

you

in we have the same problem educations make the you know like we should be

focusing on developing only once q sorry responsibility for all

restructuring to do is we make great detail information demonstrate skills as opposed to being

self regulate itself

in this way is a direct analogy so if one of the ultimate in s

that let's try to

tolerance was to what extent you a these modern systems management

as sort of prominent part of your institutional structure you know that's one of the

alternate index and then so now i you the assessment

driving

people's behaviour in a way that when you leave you must something and it is

gonna continue to serve the interests it's interesting here is it

it's a very challenging dynamic about the country conclude that

we try to

as much as possible

needed to the country to make decisions about what is that what the twenty two

tested for example georgia we just went that a couple years

george it can be it is it

we more at this is the education what

we "'cause" we decided in the constraints analysis that

you don't was biting constraint will

so we knew the education okay

so that

this is all be one of the election

the then parameters are set

we want to train state

university

it is

georgia those of you

what we did analysis

there were very many people who write with high school where the university square so

well what i mean the negotiations on

one two percent

wall

and then election that all that stuff that's

carried out

the one

while into their they do very true but not a whole

right inverse but that would be working with their first

vocational

i mean i is the same there too

though it a lot of it is that

okay work

to make sure we use

going in that direction is right or projects

is one on by the by

it has a better sense

six c and a wish

even though the money it's by we write

i think that

right

the

it is

it actually striving incentive

behaviour

the only all

for example

the week here

you're another job of the people are right now

those two countries to could be

well

the actually created partners result is

at in c a

you know without i might not have time

they decide what do also recordings

which ones they fail and in the focus or in teamwork with the forty

eight indicators in figure out how big

and library say they

me the criteria word

without from i

leading to a about the really very that the

the study

are you guys to get really very i think it is very developing countries you

show us to sort of questions about which

scores of indicators with most of which you

in terms of

thank you

how work in your

the one sets

i cc came l what we have one

you know along with i think that do business

do this is we work

but i it would be real interesting

thank you guys that it anyway so that's

beneficiary analysis so

to talk a little bit about the results

continual

when the what we call and see what i just described as the mfcc because

there is a large part of money in the book

and of it is really

change behaviour to be beyond with but anyway so we do a lot of these

a policy performance in word for us to a in the second cup so

countries

there are eligible

obviously are

or rising legislation for cc actually access to look at countries with it

and

many of the what gradually

it will make

but also

we'll go word

where they have taken the me

the twenty any control corruption in the democratic

to keep country

strictly

you know i wish i

less the over the meeting the criteria so

what little

is still there but certainly we're now going back to the those countries that has

the first time

it is now becoming second car

i don't know

what do that i will colors elsewhere for their help but certainly will now into

the second way

but in

terms but when they're

how you eligible for the second cup you have a higher verbal in a higher

verbal is policy performance

where there had me

we did you know whatever sector they period

syllables set there

no i have to set up well able to be it's fine yet to policy

for around four wheel center so we actually a lot of analysis with the

how well i don't policy

a all seen in institutional reforms

that a

or part of that one c

once they have to determine the energy sector for example

the energy seconds

the biggest by the constraint well to economical

private sector has to be are willing to come in it seems that

then and are represented seventy five dollars with projects right

right

your whole institutional

is this mess

in total

it's no

it it's not a seeker i know to anybody in auditory you knows that this

is a well

all that actually

for that

so we

me when you

the negotiations three contract negotiations

was very difficult where they have to make serious commitments

well what we call a series of condition press for instance

they have to be widely be okay

even before inside a car

and then you have to me

where is that you can take a look at some of these conditions present it's

in are in a website compact way so

one of the conditions we gotta

there's to a whole

itself utilities are separated to sell

in gonna

that the three

well what that have to

okay to a prize at the session

in order to be able to actually side

that a long time lexical while and i do for the ones that there

can do this kind of questions

also

bad

the role in this is

a critical for us and of course then we do but we monitor the inputs

the outputs the outcomes alternate the

in packs

information is collected during right

right

crap internally the next person doing a similar front-end i don't gonna at some other

country can look back and say how did you get private sector style and their

well

what did you do and twenty seven months to eight

is there much human mostly conversation there is a relational so

in order to do these constraints analysis

hacker data

and

can focus on data

there is a lot of

well i data in countries

cool dark

countries right so like your we went

were trying to understand what is what is not data but what i'm and one

maybe

instances we had to go and

the

part of the challenge is that

many of these data is locked in what i call

s try to jail

it's all sharing that it's been

really an upper part to try get

all of these data into some

sure

capacity people

the all the constraints analysis those are all of the data

but it is all of it will call types in fact that whatever is that

i work with the in be at work with idea

is to t

the look at some of these constraints have a high constraints houses

because it would be helpful to every

once you understand you know within each of the sectors

between when you talk about you know

so this will structure quantity but is also increasing

even more unstructured but a lot is even these emerging social media there is you

know annual reports from business the company words in this way more a given quantity

and how are you well

well so that for you

i think is that since i reply and joining the company i same

a score media technology mostly the focus on home

exactly at the moment but i'm working on a project proposal we africa

they're very interesting

you know he

the in

putting a lot of these

statistical data volumes

and a lot can look at your

lee

six months to your

well that's

and i

so they really interested in looking at i using clean data

technology we need

although but it is now

because of the they have to control corruption it's been to your cycle it was

the accent so

and

ninety five percent

the exit it really is

okay

so what we plan to you was

technology

access to the

challenge in this country is can you just can't remote company are sort of on

the task as it almost the whole huh

right

and you know what would be answer

i one i don't know what who you know

it should be comfortable first

asking

questions that but that

where

try all kinds of

but with all due to excess

so just this is

also just looking to the future calling my meteorologist technology

using

it's not be too long for every

vol

the weather station and so now

the more points of data meeting the better you can predict what and to some

extent as the abstract well as we

so it may be that you

people take pictures marketplaces

other kinds of in the right things the and you have access to it is

no if you know i that's so it weighting going to be where you are

today i've used no matter

absolutely

particularly for that matter what with all just okay data by in africa and the

challenges of having too many people trying to collect a data out of three however

stepping each other's terrorists a few people are

and the conservatives at the same view household utterance training although all sorts right so

you ghetto perception of what the six people and the town have any because the

other thirty are doing it is only the six you are into the cycle of

answering

so it is interesting

so this issue

a little bit of the two

in advertising here where we started looking at inputs outputs are columns

in mean

so the by five years in the process in terms of really need collect a

lot

indicators from r c a s

what's the two or

so it

okay

how many colours a box whatever it is us to do not show a little

bit later

you're all be ninety nine five percent at all works it

scatter

but when it comes to all impacts

i are actually are probably not i

you just like really i s well can i ask you

to me for our might expect cries

lessons more

the be

i because we don't have those lessons learned merge and hasn't feedback

that is system

right

and across timing and across for series of conversations

how can someone sitting and i db to their structural salvador

the remote you learn about what works doesn't work and also with or in other

places how can we

spanish always knowledge together to make everyone

more successful because they have at this is not easy so

largest

alright is that it results on it has tried product drive somewhere that is that

exist in a way that others can digest it easily figure out what is it

i think everyone looking for

or they do not because there's so much information this article we actually people actually

withdraw that it i'm gonna just go my or what i know not even have

all because it's just

stress

our government really wants a sensor

i haven't takes place in it is not know how many times can i try

to sell out of detroit but you know that is

on the monitor

like create a sense

at least i we talk

euros when you start out measuring of certain things we have successfully higher so you

know

input values

and you get

further into the

right limitation different things

but i each for me

we have one colour

it's and wondering where

but maybe

part of the compact the make it is a living document so the one actually

changes

but

there's meeting these

performance indicators the tracking

every four

see

change the time

wow

it's not my computer so

okay

also

this is an example of people tracking table

you know by were so there's a total twenty workers

it is not

we see

i irrigated agriculture that's the project

irrigation structure

our community where there's outcome out what

the project while still indicators

you know how many factors you cultivated

with the target is

and as well so when it becomes clear something

importantly change just as you can buy a signal elements continue to monitor set

that was your to your that you're not met if you're not getting ready for

their you process that way so there's

for example in gotta get that this is what i know

it was the egg

facility

quite a facility

and it was not working i met tamarais is more there

the product you know the money out the door

and

okay

i think it's to use into a set

we work with the mc a since it is not working that's card

and

the money

because the project

the money was focus on that project yes but the one six one at all

i walk as i was the seattle works i and a and a six nine

million dollars like wow

and set the

this is that okay

the project no longer it does work anymore

we shut down

the and we have started out

it was them like that

a defined because they were

one for one i

so i think one and l o i

so this is she will not only do we look at all the indicators but

maybe due to allow the key

a performance indicators

and these are all available by the way a website

that's the company

well as a country

so will be the middle targets

i is a hundred seventy seven million

to this idea of the is there i pi were people who is the number

of this

that's one thing that i one two

annotation

it's a landing

database essentially hooks that allow you to

integrate to different applications so i can take information it's in this application sucking my

then i can manipulated whatever i wanted so i three really uttered in do what

they so that stress you know last thirty one database here

nine a splashy actually not that i will see that all your basically we're what

right database as well but it's just on a spreadsheet

it was important spreadsheet right that's which so

two years two years ago i came to a packet loss here

well what i thought i say i

jan challenged by a technical t

i want to dpi

i is it sure not at all

and we

okay

a that have on you know i went out and i that was by pitch

that i have over those performance indicators

i like to get something so

so i went into our something to the api

you know the

no i don't and i was possible mister

i'll tell you what

makes me

uncomfortable about the disability

you know really i know how

a possible context and that's a checkbox compliance

we are really people were more interested in this cells build in actually knowing is

the data actually is an accurate is telling me anything important and so there's a

problem we're the

to it becomes sort of the ultimate goal rather then you know how we see

how useful is the data right you know

so you can be a well

what says that for there are various o is not know that just to know

i can click on a sellable back to the original sources i will with this

data come from is that it is also how we can wear a friendly talk

all is relevant information

and people look at the lowest relation between data and the prominence in those in

a lot of it is cool union with the data come from how accurate is

you know maybe the material one

well so we do have any t

okay evaluation it does a good out here we order

make sure that the

their courage this data is actually

accurate

the team once the submittal psyching cables the t looks at it

to make sure you sure it's

you know

the roughness indexes

i mean that the sectors will be looking at is

we don't make paper

we use

figures five and that's

well that's true

it always those parameters

right so clear exactly the way to spend too much when you go back to

that of data you spend our money interested in doing right

i just saw h

because the bank is very much we have one also i say twenty seven

got to thirty six months you a flexible with

well that's sample

it becomes a little bit of the challenge

for me is the c able this

i need to discourse

no this work i have the goal and asks

a couple more money these see you've got to believe that all the city here

i do you more or less

and it's data

it's probably

to have so i don't wanna was

in particular "'cause" i gotta in for mac version of what you submission

in success

you know

it is it's a big challenge because he you know

elections happen

secondly present i you know

there's a lot these that went on

we could get them to we to is kinda

all c and we work for

minuscule

really kinda like this is some work on so okay good i just by means

of the

things that you want these countries to do to drive private sector also

you will see what's going on in this country people in deciding

arguably that fracturing

where gas production is more important

clean here

and

are you going into these countries and saying well you know

you you're environmental policies do not really see systems are not gonna give you any

money

is that you know because certainly we use it to those values particularly in the

what we used i mean

conversations we used i see a step

you know that the white ones i don't know certainly it's been driving through

i do actually standards a woman's story has been around while

we agreed upon action

is it

the thing we have you see that so

it's more or indicators environmental usually

okay

that there may be expenditure

in your lips

well i'm just thinking so tired that when driving economic growth

one project and really try to else but the economic driver is to limit here

are you are in that kind of thing is in this you know miss what

people marching

for senior world can and what i'm struck me as you presented as well as

what rate way to store

influence the role in contrast to take on best practises and so is also possible

you

actually reinforcing things the long-term very address

and it's

it's messy it is not a process i got anything well

so the individual or would be

so i'm thinking

so in the world in a husky that people to create the product they go

to twenty seven thirty six months

where coordinate e t l's the

okay thank you very fast

where there are sent any so

it development banks that to every clear exactly at a low how's your procurement issue

when you're getting money well where do they say because their government employees right

in that it is not necessarily to

get money out the door

so where do their and then i don't have that were you v c r

how did you mesh those to be are you able to do

i it's experiment challenge

in that

in addition of labour

it is cc

that's been

this o

what we what is the back

all this

functions

we actually

there are separated from co operation

the top right operations to still orders

a here

it is so they there was actually stronger

house

i don't on

somebody should i

so i

it was a

it was not of

three

you know it is not really

so there are words are along the river what like what works are or

and

my job leads to

make sure

you know and for me it's

i that for the first that can either

when you can either

they got but this topic t

at most five

especially about it

sequester

what we get this clustering library but

i have i have the that

you know very strong

you get the

well a lot because that was

only two types of five

but i like that

that is by the dictionary as possible

sure that the money is going purposes

but with the problems

appropriate

white house but it offers

make sure that you know or i

in line with

the purposes

one

then when the channel hopping about round

i have to addresses

so did not have the opposite that there were two for trying to get money

or criticise becomes too much harder of putting money update or rather okay started off

but the other side is you get to both and not result in take all

long time every getting money out the door which does anyone which is also and

so again somewhere in that makes a how you set up the right it's any

people to use the data and formation is available

so that we can create their products but do not quickly i don't know that

or so that every

i mean every exactly that's what everyone looking for but not quite how five

because people would do a set of stuff

there are incentives forty thirty six last okay thirty one there settings for eighteen months

they get an eighteen month the yes

well there's but there's it is flexible

we try to

worst of to do

you know as quickly as possible sometimes it is it is possible

to do

you hold

you high

the people to use l two t is completely

see here

have the right

you don't mix

skills

to be arranged as

it's a little cool financial of human source

in the working with this

there are based in country

these two d c

once the compaq starts

then based

the country

so we have a very small footprint that the country

two people

usually the country right

and dirty

well very small office

supposedly it there's a lot of genes that go

a word basis

working with

the interests colour

is there supposed to be mark

thus

pretty good success in keeping the same people

or is it often someone yes i task and then go to create a new

and someone else picks up the better the actually like that while the these people

the not the best

i people

one country experience one

okay

sometimes it is the same person but most times it is not

in u x to be the same

because they i know what the world may get idea either the

and it's not necessary thing by the tickets design over eighteen months

any goes implementation then what is implemented things that change so there you go back

redesign because over eighteen months the world exchange is there a lot of that going

you designing that

well as flexible

you don't we were talking about the

slope be useful thing

o and

they have to actually come back to the time see it as a certain threshold

we shall

can things to change

little cocoa happened

those kind of thing i it is it's cost

but there's always a check

okay

i this is probably the last one we do the evaluation and this is where

the lessons learned a lot of the with

are you guys to take a look at some of the

evaluation

actually evaluation

because it's a new organisation rates only take usual

sixty percent of the portfolio is

performance evaluation one percent units in a impact evaluation

and i wish there were doing it by sector elsewhere

we use them and well

but we bring exports from everywhere like i think the bank

has been very active participation in

in this

so we did the worst

at first was a sector we're about to i think your about to either have

been we have already is getting ready to do will sector by sector so we've

got a lot less insular around

the accented or

this is a couple years ago we need to you but i two it who

really or what everybody's experience to go to start looking at

the data this is the data that by the way

i've been were working on pushing out

api stand in she we so

all of its impact of that we should

the portfolio is a i'll

one or two hundred twenty impact evaluations

there

going oracle

i don't has

huh that's across textures so

these are expensive

right about

two million dollars

evaluation

so the point is to

thus

they were very idealistic

in twenty did not really the

created in c

it was not just for

that's and slower it was for accountability

to achieve

but

when you use of a novel and cc or intensity are people to implement it

is possible

and cc

it is interesting to

and a reputation

relies on this very

and the results it's can you are so

there are many results do that

first five impact evaluation or to wear

two years ago

we're weasel would mix

and we we're two

a lot

internal

talk about should be you are we ready enough to say

i should in some

it it's a harder to do you watch you could do you

can see you know paradoxically study learning theory

running from your excuse is the most of active weight where you have a culture

we can acknowledge those failures then you just shut off the best or you have

not

so well as it

mixed with

some successes

some a

this setting in evaluation results

well there's a lot of lessons learned braille impact which self so this is a

new

institution

i will remain intact evaluations

you can buy a weighted less now we

this other lessons were already is that

there's a

what we want to look at is a value between function

you know how this is probably even better books

if a is here

is there a counter factual they can look at

we used a little or changed hands

what the criteria for of so you can always ask

for what

proposition is there is evidence

supporting not right and that can be things that aren't necessarily quality we call you

try to these three things and looks like right so

so that so order

this was the guy that is a head or

evaluations t is actually

well

he spent a lot uses career here

i can be pretty good predictor

well score

i guess who is et is easy six till you know okay so far

so he is trying to institute that will be i

the

pretty rigorously addressed c

so i we give to our work one euro for

so i don't think i i'm gonna go okay i right okay so that's me

i don't know if you i would model

to argue for i think this presentation

right

i don't have contact i will be an email

well i have a

i shall we

you are arranged in

and it's

i don't

center right away

there is a really graded on collective

collected more

i was going back to be change how we

got to be we are g in generational accumulation knowledge and so forth and you

Sharing Knowledge at The MCC

BBL

Chantale Wong, MCC