Internal crowdsourcing gathers AI and automation ideas from people across an organization rather than limiting ideation to one team. It broadens the pool of perspectives, engages employees in innovation, and allows promising suggestions to emerge before their data requirements are fully established. section 2.1.2
Use the approach as a lightweight discovery and validation loop:
- Invite suggestions from employees and domain experts, using their creativity and user knowledge without demanding an a priori data-driven argument. section 2.1.2
- Test promising ideas quickly through small pilots, sandbox environments, or employee experiments before broader release. section 2.1.2
- Progress from internal tests to controlled external-user settings and finally measure usage and satisfaction in real-world deployment. section 2.1.2
Improving a financial analytics chatbot
After adding a chatbot, a UX team can crowdsource and test ways to help users formulate questions, such as prompt suggestions and templates. Employees provide the first test setting; external users and live usage provide later validation. section 2.1.2
