How Grant Writers Use Data to Pitch
Decision making in the current technological dispensation is informed by data-driven analysis. Grant writers are equally becoming endowed with how to use data effectively to deliver winning proposals.
Here are some of the ways that grant writers use data to pitch
Nonprofit organizations exist with the primary objective of eradicating some of the societal problems that a section of the community faces. Whereas a plain narrative can be provided about these issues, practical problem descriptions are backed by actual statistics about the situation. This includes data about the qualities and characteristics of the target subject and data about their extent of the problem. Consequently, the problem definition can entail data about the significance of the problem, the cause of the problem and how the proposed solution can address this issue.
After a thorough description of the identified situation, grant writers have to provide goals and objectives that are measurable. This exercise also requires proper utilization of data and data analysis tools. The proposed input and output for the initiative can then be manipulated to provide a projection of the various outcomes of the project based on the data that is available. The projections are crucial because it enables the determination of efficiency, viability and sustainability of the initiative at different scales or using different measures and indicators. These are valuable information for the funders, and it enables them to understand the impact of the proposed intervention and the required inputs.
The budgeting process is equally a data intensive process that requires accuracy and is devoid of naive assumptions. One of the primary functions of a proposal highlights the resources needed for the successful implementation of a project and for the realization of the project’s objectives. Therefore, grant writers have to be careful lest they provide an over quotation or under quotation of the project’s budget. Some of the crucial data applied by a grant writer include economic data that advice the costs of materials, the cost of wages, cost of equipment among other resources based on the geographic location where the initiative will be carried out. This data is then applied in the budgeting process to provide an approximate overall cost for the project and the amount being requested from the funders.
The format in which data is presented has significant repercussions on how the intended audience will react upon its consumption. Grant writers are aware of this and hence strive to simplify data in the manner that appeals to the audience. This is achieved through data visualization. Some of the formats in which data can be presented visually include graphs and charts, tabular presentation and info-graphics that are laced with a combination of text, figures, graphs, charts and pictorials.
Grant writers are increasingly relying on data to write and pitch grant proposals that are devoid of unfounded assumptions.