Behind this strategy are three dimensions of product philosophy to consider:
- quality control: Each new feature is first tested in depth by seed users (current user base is about 2000) to ensure that the error rate is less than 0.5% before it is fully liberalized
- Scenario-based Adaptation: Dynamically adjusting functional details based on user feedback, such as academic users needing stricter citation formatting, corporate users preferring team collaboration tools
- Learning curve optimization: Gradually open up by the difficulty ladder of 'Knowledge Management → Basic Creation → Intelligent Workflow' to avoid the cognitive load of users facing complex functions.
The latest roadmap shows that the 'Auto-PDF' feature, which will be launched in July, has passed 3 rounds of internal testing and automatically converts conversation transcripts into beautifully laid out PDF reports, retaining all traceability markers and interactive table of contents.
This answer comes from the articleHiStella: Creating a Personalized AI Co-Agent Intelligent Space》
May not be reproduced without permission:AI productivity tools » Why does HiStella use a phased strategy of opening up features?
