Community funding opportunites
Contents
Funding jargon guide
Beneficiaries: Those who benefit from your project.
Capital costs: Equipment or items you need to buy, build or repair. For example, bicycles or computers, or repairing or renovating a building.
Evaluation: What you do to decide how your project is going. For example, by having a discussion at a meeting about how things are going on an ongoing basis, or looking back at the end of the project and reflecting on went well and what you would improve next time.
Evidence: Concrete facts and statistics that prove your claims. When applying for funding, evidence will be required to show the need for your project, how it will help beneficiaries. When providing evidence to a grant maker for money you have received, this should show you have done what you said you would do. For example, via photographs, survey responses, receipts and registers of attendance.
Indicators: What you will measure to decide if you are achieving your outcomes and outputs. For example, if you have a predicted outcome of more people gaining cooking skills at classes within an area, an indicator could be the number of people from that area attending cooking classes arranged by your organisation.
Match funding: Funding from 2 or more sources for one project. For some funders, this is a requirement. For example, they may be willing to give you half the cost of your project, on the condition that you can raise the other half from another funder.
Monitoring: Any method you use to decide how well your project is going. For example, running a survey of your members.
Outcomes: The positive results of your work; the reasons for carrying out your project.
Outputs: What you do to achieve your outcomes.
Qualitative data: Data that can be observed and recorded. This data type is non-numerical and is collected through interviews, observations, surveys and focus groups, for example.
Quantitative data: Data that can be counted or measured and given a numerical value, for example length in centimetres. Quantitative data is suitable for statistical analysis.
Revenue costs: Non-physical things you need to pay for. For example, publicity, venue hire, volunteer expenses and salary costs.
Capital costs: Equipment or items you need to buy, build or repair. For example, bicycles or computers, or repairing or renovating a building.
Evaluation: What you do to decide how your project is going. For example, by having a discussion at a meeting about how things are going on an ongoing basis, or looking back at the end of the project and reflecting on went well and what you would improve next time.
Evidence: Concrete facts and statistics that prove your claims. When applying for funding, evidence will be required to show the need for your project, how it will help beneficiaries. When providing evidence to a grant maker for money you have received, this should show you have done what you said you would do. For example, via photographs, survey responses, receipts and registers of attendance.
Indicators: What you will measure to decide if you are achieving your outcomes and outputs. For example, if you have a predicted outcome of more people gaining cooking skills at classes within an area, an indicator could be the number of people from that area attending cooking classes arranged by your organisation.
Match funding: Funding from 2 or more sources for one project. For some funders, this is a requirement. For example, they may be willing to give you half the cost of your project, on the condition that you can raise the other half from another funder.
Monitoring: Any method you use to decide how well your project is going. For example, running a survey of your members.
Outcomes: The positive results of your work; the reasons for carrying out your project.
Outputs: What you do to achieve your outcomes.
Qualitative data: Data that can be observed and recorded. This data type is non-numerical and is collected through interviews, observations, surveys and focus groups, for example.
Quantitative data: Data that can be counted or measured and given a numerical value, for example length in centimetres. Quantitative data is suitable for statistical analysis.
Revenue costs: Non-physical things you need to pay for. For example, publicity, venue hire, volunteer expenses and salary costs.
Page last reviewed: 13 September 2022