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Anna O’Halloran Managing Director Lizzie Williams Head of Technical Strategy CIH Repairs & Maintenance Conference 2017 A nudge in the right direction
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Anna O’Halloran

Managing Director

Lizzie Williams

Head of Technical Strategy

CIH Repairs & Maintenance Conference 2017

A nudge in the right direction

Typical ways of managing

repairs services

Traditional, tried & tested ways of

working…….

⌂ In-sourcing

⌂ Out-sourcing

⌂ Partnering

⌂ Price per property

⌂ Tenant incentive schemes

⌂ Tenant cash-back

⌂ Reduced / increased service

standards

What if there was another

way?

Homo Economicus? Homer Economicus?

What’s this got to do with

repairs?

Which tenants are reporting the most repairs?

Which tenants cost the most?

What are their particular characteristics?

What does that tell us about them?

Which repairs are they reporting, and when?

How can we use this information?

How much does property condition influence repair

reporting?

Trades

Joinery, electrical and

plumbing are the three most

prevalent types of repair

Exterior, roofing and

bricklaying are infrequent,

but most expensive repair

types

Bricklaying

Drains

Electrical

Exterior

Finishing

Gas

Glazing

GutteringJoinery

Other

Paint & dec

PlumbingQualifying

Roofing

£0

£20

£40

£60

£80

£100

£120

0% 5% 10% 15% 20% 25%

Ave

rage

co

st p

er r

epai

r ac

tio

n

Proportion of actions

Summary by trade

Predictor variables

Age of Tenant

As age of tenant increases, the

average number of repairs per

year shows a distinct downward

trend.

Predictor variables

Differences in number of repairs (both median and mean) evident between different ethnic groups

Largest ethnic groups (n > 200) / Year 2 repairs

Ethnicity

Predictor variables

Pre-occupancy standards? ‘New home’

expectations? Short-term tenancy

attitudes?

Towards end of tenancy?

0%

5%

10%

15%

20%

Upto 1

2 3 4 5 6 7 8 9 10 11 12 13 14 15 Over15

Per

cen

tage

of

ten

ants

Tenancy length

35% of all tenants

41% of all tenants

New tenancies trigger

considerably higher repairs

reporting.

Estimated distribution of tenancy

lengths: Tenancy Length:

Predictor variables

As the number of

bedrooms in the

property (proxy for

family size) increases,

the number of repairs

per year shows a

distinct upward trend

No. of Bedrooms

Key segments

= High & Very High:

19% of tenants account for:

• 49% of repairs

• 52% of repairs costs

Repair Demand

47%

33%

15%

4%

16%

36%

31%

18%

14%

35%

32%

20%

0%

10%

20%

30%

40%

50%

Low

Med

ium

Hig

h

Ve

ry h

igh

Low

Med

ium

Hig

h

Ve

ry h

igh

Low

Med

ium

Hig

h

Ve

ry h

igh

Tenants No of repairs Total cost

A fifth of the population are responsible for around a half of all repairs and a half of all repair costs. Clear evidence for a ‘high demand’ segment.

Low

0 to

3

Medium

4 to

7

High

8 to

13

Very high

14+

52%

19%

49%

Frequency Segments

Segment Predictions: demography

54%63%

52%

13%9%

13%

0%

20%

40%

60%

80%

100%

Base 1 bedroom 5 bedroom

No of bedrooms

Low Medium High Very high

54%67%

60%

13%7% 10%

0%

20%

40%

60%

80%

100%

Base Male Female

Gender

Low Medium High Very high

54%62%

70%

13%9% 7%

0%

20%

40%

60%

80%

100%

Base 20 years 60 years

Age

Low Medium High Very high

Likelihood of being in a high demand tenant is

influenced by certain demographic factors:

• Ethnic group

• Female more likely than male

• Younger ages more likely than older

• More bedrooms (proxy for family size)

increases likelihood

54%64%

49%

13%8%

14%

0%

20%

40%

60%

80%

100%

Base Ethnicity 2 Ethnicity 6

Ethnicity

Low Medium High Very high

What if there was another

way?

Homo Economicus? Homer Economicus?

Nudge

Small changes to context

can have powerful impacts

on behaviour.

The classic

Nudge

Behavioural insights

Widely used in UK / US government policy development.

Behavioural insights

Adopted with gusto by governments across the world

Norms

When citizens were told that most people pay their tax on time, payment

rates significantly increased.

£210m of revenue

brought

forward in 2012/13 alone.

Messenger / Salience

When people who were late with court fine received reminder text

messages, payments when up by 28%

£30m per year in saved

revenue

150,000 bailiff

interventions

Behavioural insights

63%

72%*** 71%***

0%

10%

20%

30%

40%

50%

60%

70%

80%

Control Fear Norm

Proportion of tenants that made a payment: entire trial

Including 1

extra message

in arrears

communication

s resulted in a

significant

increase in

payment rates.

72%*** 71%***

Behavioural insights

44% 48% 56%** 52%

0%10%20%30%40%50%60%

Proportion of tenants who made a payment: entire trial

Reframing Letter 1 led to a

12% increase in payments.

56%**

Behavioural insights

52%

38%

71%*

0%

10%

20%

30%

40%

50%

60%

70%

80%

Control Card Text

Proportion of tenants who overpaid against 'amount due'

Thank tenants for

keeping up

repayment

agreements resulted

in 71% of them further

increasing the amount

they paid to reduce

their debt

71%*

Behavioural insights

Changes to an

envelope increased

revenue by 46%

£83.00

£121.00

£85.00

£0.00

£20.00

£40.00

£60.00

£80.00

£100.00

£120.00

£140.00

Average payments per tenant within 7 days of intervention

Control New Envelope Old Envelope

£121.00

Our methodology

Agreeing the ‘good problem’ – which repairs and which

tenants to focus on

Designing communication materials using behavioural

insights to reduce demand – including gathering and

acting on qualitative insight from tenants to understand

attitude and beliefs

Implementing intervention and run an RCT to track

impact

Reviewing results, including cost implications

Forensic analysis project

⌂ Increasing reporting of/ spending on minor repairs ⌂ Increasing void repair costs ⌂ How do we make sure that our repairs service is providing

real value? ⌂ How can we reduce spending on responsive repairs? ⌂ How can we reduce costs while maintaining satisfaction? ⌂ Analysis of repair reporting trends over a three year period ⌂ Using data from across the organisation, not just repairs

What did we learn?

⌂ 20% of tenants spend 80% of the money

⌂ 10% of tenants spend 63% of the money

⌂ Average of 2.33 internal repairs per property

⌂ 75% of tenants report fewer than three repairs

⌂ Almost a third of our tenants report no repairs at all

⌂ One in nine properties report more than six responsive repairs

⌂ 152 properties were in the top 20% for three consecutive years

⌂ 176 reported no repairs at all for three consecutive years

⌂ Neither extreme is ideal

Spotlight on Nelima

⌂ Nelima lives with her husband, Ahmed, and their three school aged children

⌂ Average of 6 repairs per year at average cost of <£50 each

⌂ In her early thirties ⌂ Nelima attends an exercise class

in a community centre and her son visits the youth club

⌂ Lived in their home for four years ⌂ Three bedroom maisonette ⌂ In receipt of some housing

benefit ⌂ Identify themselves as Asian

Bangladeshi

Spotlight on Jim

⌂ Jim is the lead tenant and lives with his wife Maureen

⌂ No repairs reported ⌂ Retired ⌂ In his mid sixties ⌂ Tenant since 1975 ⌂ Two bedroom flat in a 1960’s block ⌂ Identifies himself as white British

What if there was another

way?

Homo Economicus? Homer Economicus?

There IS another way!

MINDSPACE

Messenger Incentives Norms Defaults Salience Priming Affect Commitments Ego

http://instituteforgovernment.org.uk Dolan et al, 2010.

Have a go…….

Use the MINDSPACE stimulus

cards to design communication

that will encourage Jim and

Nelima to change their behaviour.

Remember that Nelima reports too

many repairs and Jim doesn’t

report any at all.

Speed feedback


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