DATA COLLECTION PLAN

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DATA COLLECTION PLAN PROJECT ESTIMATED TIME 20-30 HOURS / OVER 2-4 WEEKS

DELIVERABLES

• A set of key metrics to regularly track

• Spreadsheet tool to collect data on key metrics with accompanying tables and graphs for analysis

• Training for best practices on data collection

• Training on how to use the spreadsheet and analyze key metrics

• Note: this does not include data entry or analysis of the data

PREREQUISITES

• A set of key metrics to regularly track

• Spreadsheet tool to collect data on key metrics with accompanying tables and graphs for analysis

• Training for best practices on data collection

• Training on how to use the spreadsheet and analyze key metrics

• Note: this does not include data entry or analysis of the data

PROJECT STEPS

• Prep: Professional understands Organization's goals and how they determine program success

Volunteer Manager shares relevant materials describing their programs such as an Annual Report or Business Plan

Professional facilitates conversation with Volunteer Manager to determine what constitutes program success

Professional facilitates conversation with Volunteer Manager to agree on goals, timeline, and next steps for the project

• Milestone 1: Professional outlines key metrics to track

Professional comes up with a set of key metrics to track

Professional outlines how to track each metric, including frequency of measurement and unit of measurement

• Milestone 2: Data collection and analysis tool created

Volunteer Manager provides feedback on the suggested metrics

Professional incorporates feedback into final set of metrics

Professional creates a spreadsheet for Organization to collect data, along with relevant tables and graphs to help analyze data

• Milestone 3: Team members are trained on the data collection system and analysis tool

Professional trains team members how to collect the data points and enter them into the tool

Professional trains team members how to run reports and use them for analysis

We need this because:

(1) We are not adequately collecting data for our programs

(2) We are not able to accurately measure the performance of our programs

(3) We intend to do an impact measurement project

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