ResearchCollab is continuously being improved. The below ideas are planned in coming months.
Ongoing polish to UI components and flows based on usability testing and stakeholder feedback.
Improving trust in AI answers by surfacing source types and allowing users to filter by verified or scientific content.
Adding lightweight feedback capture to improve AI responses and build a reinforcement learning loop based on user input.
Introducing shared annotations, folders, and structured collaboration tools to support group research and project-based workflows.
Expanding ResearchCollab’s reach by connecting with third-party academic databases and institutional repositories.
Allowing users to compare model responses and select preferred engines based on speed, accuracy, and tone.
Helping creators and professionals turn structured insights into publishable blog posts with minimal friction.
Adding citation formatting, reference management, and export capabilities to streamline academic and professional output.
Introducing shared annotations, folders, and structured collaboration tools to support group research and project-based workflows.
Trying to automate the complex process of Systematic Literature Reviews, whilst keeping the human in the loops, so it is ethically correct. Automate...
Improving responsiveness and usability across mobile devices to support research on the go.
Enhancing the Microsoft Add-in experience with improved UI consistency and smoother authentication for new users.
Building a guided search experience that helps users explore topics with reusable filters and structured prompts.
Introducing a structured writing tool that blends AI suggestions with human tone, helping users draft research-backed content more naturally.
Enables researchers to generate PRISMA-style flow diagrams and track inclusion/exclusion criteria, streamlining systematic review workflows.
Resolved bugs and improved performance in search and topic navigation, delivering more consistent results and smoother exploration.
Updated logic to preserve user context and avoid unnecessary credit deductions, ensuring a more tailored and efficient discovery experience.
Enabled seamless sharing and interaction with saved content, making team-based research more intuitive and actionable.
Streamlined guest experience with clearer CTAs and smoother transitions to signup, helping new users explore value before committing.
Refinements to layout, navigation, and interaction flows based on real user input — reducing friction and improving clarity across the platform.
Improved model orchestration and response accuracy across key workflows, enabling faster and more reliable research interactions.