The 'Letsdecide' App is for Better Personal Decision Making
Michael Hemsworth — May 16, 2017 — Lifestyle
References: letsdecide.xyz & betalist
Ensuring that all factors and information is incorporated into the mix when partaking in personal decision making is imperative to the best decision, so the 'Letsdecide' app is intended to help make this a constant.
The 'Letsdecide' app is positioned as your personal decision-making assistant to utilize it for making choices on a variety of different scales including purchases big or small, or even lifestyle changes like accepting a new job.
Users of the 'Letsdecide' app for personal decision making can make use of social polling capabilities to let their friends and family weigh in on the choice rather than having to chat endlessly with them individually. This ensures that users will think of all aspects of decisions before making the final call.
The 'Letsdecide' app is positioned as your personal decision-making assistant to utilize it for making choices on a variety of different scales including purchases big or small, or even lifestyle changes like accepting a new job.
Users of the 'Letsdecide' app for personal decision making can make use of social polling capabilities to let their friends and family weigh in on the choice rather than having to chat endlessly with them individually. This ensures that users will think of all aspects of decisions before making the final call.
Trend Themes
1. Personal Decision-making Apps - Opportunity for developers to create similar apps with even more personalized features.
2. Social Polling for Decision Making - Potential to expand social polling capabilities to include a wider audience.
3. Incorporating Factors for Better Decisions - Opportunity to develop software that integrates complex factors into decision-making processes.
Industry Implications
1. Personal Productivity Apps - Integrating decision-making functionalities into productivity software could increase its value.
2. Social Media Apps - Social media platforms could integrate decision-making features for users to make decisions within their networks.
3. Artificial Intelligence & Machine Learning - AI could be developed to analyze complex factors in decision-making and provide personalized suggestions to users.
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