It is a reality that businesses are increasingly using predictive analytics to achieve their outcomes – in marketing, pricing strategies and improving operations. Likewise, governments are also turning to data and AI to develop more timely, targeted and relevant policy for citizens. The increase in data-driven decision making and predictive analytics is palpable.
A comprehensive profile of the primary health care workforce in your region is an essential input for effective workforce planning. But compiling the necessary data and keeping it up to date is easier said than done!
Poorly designed Program Evaluation questionnaires can lead to wasted time and erode stakeholder confidence. Worse, they can result in faulty data, which can lead to flawed decision-making and have serious impacts on the outcome of a program. This guide will help you appraise your evaluation questionnaires and ensure you’re collecting the right data to truly measure the success of your program.
This tool is intended for: ‘unpacking’ program objectives or outcomes and determining the data requirements for monitoring and evaluation of the program against its outcomes. The tool can be used to focus on just one, or both, of the aims described above.
In the ideal evaluation world, an evaluation occurs in the context of a beautifully planned and executed monitoring and evaluation framework. You have time and resources and oodles of beautiful, relevant, high quality data to inform your evaluation…… But who lives in this ideal world? Oftentimes, you are notified late of the requirement, there’s a tight budget and timeframe, and for the final kicker…. you have no data.
