H.appyCities INSIGHTS is an AI-powered platform for online surveys and behavioral analytics.
Anticipate challenges and make
decisions based on complex tailor-made data delivered fast. Interactive for citizens, intuitive for city halls!
H.appyCities INSIGHTS uses Machine Learning algorithms to find out what variables can best determine a citizen's preference towards a project or particular issue. Here’s what you can do:
- Create from scratch 100% proprietary solutions for both front-end and back-end platforms
- Set up your survey infrastructure in 5 easy steps and go live in less than 3 weeks
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Collect your data monthly, on the spot or even in real-time, depending on the survey type
- Use agile tools and processes to automate your profiling questionnaires
Anticipating the city needs and challenges and finding the right mix as a support for decision making is our goal.
The mindset that lead us forward is based on three main components:
Relying on your experience, intuition, and publicly available data is good, but the real competitive advantage resides in tailor-made primary research data delivered fast, at reasonable prices.
Your online polling infrastructure is easy to set up and go live. The whole process is transparent to the client and its dedicated team.
The gathered data can be reported:
- on a monthly basis;
- depending on the needs, on the spot (for particular events);
- in real-time (for ongoing followed subjects of interest).
H.appyCities INSIGHTS uses Machine Learning algorithms to find out what variables can best determine a person's preference towards a policy or particular issue of the city.
We follow 3 types of variables in our research:
- Usual demographics (age / gender / location)
- O.C.E.A.N. personality model (openness, conscientiousness, extroversion, agreeableness, and neuroticism)
We let the AI propose what other 10 features (variables) best influence the citizens’ preference
H.appyCities Insights
The gathered data can be reported on a monthly basis or, depending on the needs, on the spot (for particular events), or real-time (for ongoing followed subjects of interest).
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