Here’s my challenge today… I’m writing a grant (don’t even ask why I am working on Saturday) and I have more needs data than I could possible use. I have a 40-page limit for the narrative and the needs section is worth 20 points (out of a possible 100), so only 20%-25% of my pages at most should be spent on the needs section.

The good news is that I have lots of data. I am usually challenged by not having enough hard data. The problem is prioritizing all this good information.

Here’s what I do:

1) Focus on the main issues. I may have some good data for some of the more peripheral problems faced by my client, but I need to stay focused on the main issues that we will be trying to address with the grant.

2) Decide which data best support those big issues. I have to cut loose (for now) the information that doesn’t make the strongest case.

3) For the data I won’t be using, mention tat it is available, and that it supports the rest of the findings. I don’t do this too much, though, or the readers will question why I didn’t include it all.

4) Use the data evenly. If I have loads of evidence to support one need and only one little stat to support another, I need to be careful. If I use all of what I have for the first issue, it will make the second one look very weak. Sometimes less really is more.

Here’s my challenge today… I’m writing a grant (don’t even ask why I am working on Saturday) and I have more needs data than I could possible use. I have a 40-page limit for the narrative and the needs section is worth 20 points (out of a possible 100), so only 20%-25% of my pages at most should be spent on the needs section.

The good news is that I have lots of data. I am usually challenged by not having enough hard data. The problem is prioritizing all this good information.

Here’s what I do:

1) Focus on the main issues. I may have some good data for some of the more peripheral problems faced by my client, but I need to stay focused on the main issues that we will be trying to address with the grant.

2) Decide which data best support those big issues. I have to cut loose (for now) the information that doesn’t make the strongest case.

3) For the data I won’t be using, mention tat it is available, and that it supports the rest of the findings. I don’t do this too much, though, or the readers will question why I didn’t include it all.

4) Use the data evenly. If I have loads of evidence to support one need and only one little stat to support another, I need to be careful. If I use all of what I have for the first issue, it will make the second one look very weak. Sometimes less really is more.