TransparentChoice uses AHP to convert strategic intent into weighted criteria.
TransparentChoice’s collaboration software uses the power of decision-science to aggregate competing opinions across your leadership group.
Our powerful, real-time online meetings then help get stakeholders aligned in a way that is as effective as it is fun. The results let you clearly communicate the key components of your strategy.
Use TransparentChoice to empower your team to propose projects that deliver your strategy.
Your weighted criteria represent your strategic goals, so why not use them to issue ideation challenges?
Use criteria to initiate a challenge something like this: "Our most important strategic goal is X. Every department come up with 3 ideas to move the needle on X!" Then sit back and watch the ideas roll in via our online ideation pages!
TransparentChoice lets you score projects based on their contribution to your strategy.
Consistently delivering a high-value portfolio leads to a huge benefit over time.
Our data visualization lets you identify the projects that deliver maximum impact and optimize your portfolio. Real-time shareable links keep stakeholders informed and increase participation
Respond quickly to change, take advantage of opportunity and avoid disaster.
Simply re-run the criteria weighting to reflect the new reality and boom-"you can see which projects have become more important and which you should now stop." Quickly. No fuss.
When new projects emerge or there's a step-change in innovation, TransparentChoice lets you score them and immediately see how they compare with your existing portfolio.
TransparentChoice helps reduce noise and bias in the data that you use when selecting projects.
Scoring projects against your strategic goals is tricky. It involves making judgements about the impact of each project against each criterion... and these judgements are undermined by random noise and blind-spots.
TransparentChoice software supports a process designed to help reduce noise and bias in these judgements through collaborative scoring. This approach was recently set out in a book by Nobel Laureate, Daniel Kahneman as a great way to improve your data quality.
