Many organizations use ‘funds’ to catalyze change. A few tricks can boost their effectiveness.
Incentive funds are an increasingly popular intervention in a range of sectors. Funds range from incentives designed to encourage devolved governments (e.g. states) to implement policy through innovation to funds designed to develop and prove successful new practices. Incentives can be a powerful influence on behaviour. However, many funds find that their impact is lower than expected, their funding results in unintended consequences, or the interventions they fund prove either unsustainable or unable to scale.
We looked at successful and unsuccessful funds, the challenges they faced, and the strategies that were effective in overcoming them. We found that funds generally had one of four objectives, and that the challenges they faced, and things they needed to do to be successful, varied accordingly.
The four objectives were:
- Drive behavioural change at scale. Examples include the ‘Race to the Top’ fund used to drive change in state education in the United States, or Peru’s 'Incentives Plans for Municipal Governments and Education Authorities'.
- Target funding at areas where it is required most: examples include ‘School Improvement Grants’ in the United States, which are targeted at schools with the highest level of need, or a number of funds in Nigeria that targeted at states with the lowest levels of performance.
- Generate evidence about effective practice: examples include most ‘Innovation Funds’ which aim to generate evidence about innovations and their potential impact.
- Generate awareness about issues. Examples include the Global Teacher Prize, which aims to generate awareness about teaching, or the awards for health and education sponsored by Qatar’s WISH and WISE.
The first two types of funds require relatively large amounts of funding to be effective, and aim to directly influence decisions. The second two require less funding and influence decisions indirectly.
Different types of funds face different challenges. When funds try to drive change at scale, the biggest challenges tend to be around data quality and avoiding unintended consequences and incentives. For instance, funds which reward schools based on exam scores need to address a large number of issues around data and incentives. Conversely, where funds aim to generate evidence (about new innovations) or awareness, the main challenges are in ensuring that new ideas are taken to scale.
The challenges funds face, and the strategies to overcome them vary based on their type:
Large funding requirement
- Risk of gaming and perverse incentives
- Ensuring data is rigorous
- Moving ‘hard-to-measure’ outcomes
- Ensuring capacity to implement
- Demonstrating initial impact to gain long-term funding
- Heavy investment in monitoring
- Iteration in goals and monitoring to counter negative effects
- Processes to share effective practice and build capacity
Negative incentives (rewarding failure)
- Low beneficiary capacity
- Ensuring data is rigorous
- Potentially low results relative to investment
- Detailed capacity assessments and strengthening plans prior to investment
- Distribution of funding in tranches based on performance
- Levers for intervention in non-performing grants
Ensuring that interventions are scalable
- Generating interest and uptake of successful interventions
- Ensuring sufficient high quality applications
- Building scalability into assessment criteria (e.g., realistic costs)
- Including participants from a range of context similar to those in target systems
- Wide publicity to generate the maximum number of applications
Translating increased awareness into improved implementation of policy
- Ensuring the integrity of successful examples
- Rigorous due diligence of selected examples
- Broad outreach and awareness efforts
- Direct targeting of decision-makers and involvement in the process
Successful funds correctly implemented the strategies applicable to their type.
In all cases, strong routines, processes and data systems were integral to success and, as always, good outcomes.