Analysing your project | StreetGames National Conference 2013
Using your data to make your project better Ceris Anderson - StreetGames.
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Transcript of Using your data to make your project better Ceris Anderson - StreetGames.
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Using your data to make your project betterCeris Anderson - StreetGames
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Session Overview
• Why is it important to collect and analyse data?
• What data should we collect or look up?
• How can we use this data better?
• What are the limitations of data collection?
• What other information and feedback would be useful?
• What can we do with the data and evidence once it is collected?
What is the one thing you most want to cover in this session today?
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What data do you typically collect in your projects?
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Why is it important to collect and analyse your data?
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Why is it important?
It can help to:• Keep track of progress and assess how things are going
• Identify which sessions are working well and where changes/ improvements may be needed.
• Identify who is coming (and who is not ), is it the intended target group?
• Identify how often people are coming…..are they in danger of dropping out?
• Provide consistent performance measurement.
It is an essential part of good project management
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Data collection is important but it can also be a challenge…………
What challenges do you face with data collection?
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Data collection
• Participant records
• Attendance registers
• Volunteer records
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Data Collection
• Try to keep it as simple as possible
• Only collect what you really need
• Explain to project staff, coaches, volunteers and participants why you collect the information and why it is important
• Ensure systems are in place from the outset
• Make use and share the data
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What data should we collect?
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What data?
• This must be driven by the aims and objectives of your project:– Sports participation– Participant engagement, Retention, Progression– Volunteer engagement and development– Training and qualifications – Health improvement– Reducing crime and ASB– Others……..
• Can they all be measured by data collection?
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Sports Participation
• Sessions• Participants• Attendances
May also collect data on: • Coaches• Volunteers • Qualifications
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Participant Data
• Total participant numbers
• Who is attending (profile) and who isn’t
• What activities are they doing?
• How often are they coming?
• How long have they been coming?
• Who has dropped out? Are there any patterns?
• How do we know if there has been any progression?
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Statistic Summary gives you an overview of your project and also allows you to focus on particular dates or clubs.
A tt e n d a n c e
G e n d e r S p l i t
E t h n i c i t y
A g e R a n g e
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S p e c i a l E x p o r t s
Allow you to analyse the rates of participation and the popularity of each sport.
September October November December January
Participants attending x1 in the month
14% 12% 14% 13% 10%
Participants attending x2 in the month
6% 10% 11% 7% 8%
Participants attending x3 in the month
5% 10% 10% 7% 9%
Participants attending x4+ in the month
75% 68% 65% 72% 72%
Activity Type No. of Sessions No. of Attendances No. of ParticipantsBadminton 86 1623 138Multi-Sport 118 1996 140Dance - including Exercise, Movement and Dance 86 973 35Table Tennis 15 147 30Tennis 15 147 30Trampolining 42 525 56Volleyball 15 147 30
F r e q u e n c y o f A tt e n d a n c e A c ti v i t y b y S p o r t
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Know your participants
Use your data to know your participants:
• Newbies• Settling ins• Core• Dedicated
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Category Actions required
1 “The newbies” • Needs lots of attention – make them feel welcome, explain session, no surprises• Buddy systems, help them make friends• Taster sessions• Send text/message if possible to say they have been missed • Incentives • Reminders about next sessions
2 “The settling ins” • Needs lots of attention• ‘Spice up’ sessions, tell them about festivals and events • Rewards/awards (non-sporty)• Reminders about next sessions• Send text/message if possible to say they have been missed
3 “The core” • Involve them to events and festivals• Provide more challenges• Input into session planning, youth-led
4 “The dedicated” • Provide responsibility • 1-1 discussion, identify pathways, potential exit routes, leadership • Become a buddy to those in group ‘1’• Able to ‘find their own way’ into activities, volunteering or officialdom
Know your participantsUse your data to tailor actions
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Sessional Factors
• Which sport/activity
• Day/Time
• Venue type/location
• Which coach
External Factors
• Weather
• Holidays
• What’s on TV/new ‘pulls’
Data tells you what, but may not explain why……may need to explore further
Data to keep an eye on………
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What are the limitations of data collection?
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“Not everything that can be counted counts, and not everything that counts can
be counted”. [Albert Einstein]
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Data Limitations
• Data collection can provide very useful information and show trends but it will not explain why
• It will not identify why something is working well or not so well
• What is behind the data?
• What are the ‘life stories’?
• It can be hard to prove causality
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What other information and feedback would be useful?
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Other information
• Gather feedback:– Why is something working well
– What are the success factors?
– What have been the challenges
– What could be done differently
• What are the ‘stories’ that bring the data to life?
• What progress or impact has the project made?
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How to find out
• You may decide to conduct in-depth research
• But you can also gather useful feedback simply and cheaply
• Informal conversations • Graffiti Boards• Social Media• Photo or Video Evidence• Conducting interviews• Ask young people to do
‘paired pal’ interviews• Surveys• Hold focus Groups• Projective techniques
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Ev i d e n c e
The Evidence section allows you to store various forms of information which demonstrate the impact and success of your work.
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Wider project Aims
• You may need to collect other data or use progress ‘markers’:
– Questionnaires or interviews (may be tailored to your project or national surveys like the GPAQ)
– Evaluation tools (e.g. engagement ladders, Rickter Assessment, Outcomes star)
– Partner data (e.g. crime stats, NEET records)
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What other data tools may help?
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Other data tools
Sport England:• Active People Interactive• Market Segmentation Tool• Local Area Profiles• Local Economic Value of Sport Tool
Other useful tools and websites:• Neighbourhood Statistics• Health Profiles• Child Health profiles• Crime data • Poverty • Are there others you find useful?
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What to do with the data and evidence once it is collected
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What to do with your data and evidence
• Review your progress internally
• Identify which sessions are working well and where changes/improvements may be needed – Act on it!
• Provide feedback on progress to everyone involved
• Use your data to show the value and impact of your project to partners, the wider community, funders and others
• Use your data and evidence to support the case for continued and increased levels of funding.
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Build your project ‘story’
• What have you learnt about:
– Numbers attending, year-on-year growth
– Key trends: can these guide future delivery/ investment
– Your success in attracting key target groups
– Your activities or growth in a particular sport
– Your development of local capacity
– Contributions towards physical activity targets
– Contributions towards improving quality of life
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Build your project ‘story’
• Project Case studies– What has happened– What worked well– What have you learnt
• Individual ‘pen portraits’– Progress of an individual participant,
volunteer, leader or coach• Other sources:
– Do other partners have data or evidence which supports your work
– Has there been any press or political interest?
Use all your different sources to ‘tell the story’
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