FAQs

Lots! You’ll see:

1. Your headline stats: the number of participants, the number of comments, votes and more.

2. Your opinion groups, segmented into areas of agreement, dissent and undecided.

3. A demographic breakdown, a ‘so what’ chart to distil insights, and the ability to analyse

4. Every single response from any angle.

OPPi uses an AI-powered decision matrix to find rich insights in the noise. Once its machine learning algorithms have done their thing, it uses the patterns it spots to identify opinion tribes and present their thoughts in a simple, clutter-free way.

Find out more about how OPPi’s decision matrix works.

Common ground statements are statements with a high percentage of consensus among participants in any engagement session.

Divisive statements are statements that divide a group of participants and may not exhibit a clear majority view.

Acknowledge statements are statements that do not have the level of consensus to become ‘common ground’ but which are significant minority views.

No. OPPi will analyze all responses from participants and determine the number of opinion groups from the various sets of behaviors and characteristics present in each poll.

Each opinion group exhibits a certain set of unique behaviors and characteristics. You can explore these by scrolling through the statements associated with the particular opinion group and by filtering and cross-referencing responses with each question.

OPPI combines quantitative and qualitative methods with advanced statistical techniques that help leaders identify fault lines and common ground. OPPI deploys machine learning methods to learn patterns from respondents in real-time. It can identify opinion tribes based on respondents’ views and visualise correlations between respondents.

Through these methods, OPPi identifies areas of division and commonality and reveals the full landscape of opinions made by respondents. Using AI, OPPi identifies and clusters tribes based on the similarities and differences in responses and the statements that define each group.

The logic is that for every three statements, there will be one MCQ displayed. We determined this logic through our user testing and through feedback that told us such an order allows for participants to answer MCQs freely and honestly. This order also allows organizers to carefully curate the statements and trigger participants' thinking in giving their opinions.

OPPi calculates the level of consensus in each statement using a Consensus Factor score. The scale below shows how we categorise common ground, divided and acknowledge statements.