Our Tools
Risk, Reward and Resilience Framework
Simple, powerful and flexible
The Risk, Reward, and Resilience™ (RRR) Framework provides a simple yet powerful and flexible mental model for decision making that can be applied across various policy, business and organizational domains.
Leveraging Artificial Intelligence (AI) and Large Language Models (LLMs), Dragonfly Thinking™ has supercharged the RRR Framework into an interactive AI-enabled tool.
The RRR Framework was developed by Professor Anthea Roberts from the Australian National University and was published by Oxford University Press.
RRR Systems Map of the impact of AI
RRR tool
Our AI-enabled RRR tool empowers users to synthesize and integrate insights from diverse disciplines and domains to create:
RRR Systems Maps to model the key drivers of a system, identifying drivers of risks, rewards and resilience factors in a holistic way.
RRR Connections Maps to identify key connections among the system’s drivers, enabling users to identify the links among different drivers.
RRR Intervention Maps to identify different interventions that can be taken to reduce risks, increase rewards and build resilience, along with their effects.
Learn more:
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See how RRR has been applied to Risk and Resilience in Australia’s telecommunications sector (coming soon)