Departments
Research and Development

Turn Research and Experiments Into Repeatable Workflows

Move research inputs, experiments, and outcomes through connected, automated workflows.

Automate top apps for Research and Development

Ready to use automation templates for Research and Development

Research Request Intake & Prioritization Automation

R&D teams often receive research requests from product, engineering, and business teams through email or chat, which leads to unstructured intake and prioritization challenges.

With R&D workflow automation, research requests are captured in a structured format, prioritized based on defined criteria, and routed to the right teams automatically.

This reduces delays, removes confusion, and helps R&D teams focus on the most impactful research work.

Research Request Intake & Prioritization Automation

Experiment Tracking & Status Update Automation

Manually tracking experiments across spreadsheets and tools slows research progress and limits visibility into ongoing work.

With research process automation, experiment statuses are updated automatically, data is synced across systems, and stakeholders are notified when milestones are reached.

This improves transparency and keeps research teams aligned without manual tracking.

Experiment Tracking & Status Update Automation

Cross-Team Collaboration & Handoff Automation

R&D initiatives often involve collaboration across product, engineering, and QA teams, making manual handoffs slow and error-prone.

With collaboration automation, tasks are triggered automatically, updates are shared in real time, and teams stay aligned throughout the research lifecycle.

This ensures smooth handoffs and faster progress without manual coordination.

Cross-Team Collaboration & Handoff Automation

Documentation & Knowledge Management Automation

Important research insights are often scattered across tools, documents, and systems, making knowledge hard to find and reuse.

With research documentation automation, records are updated automatically, insights are organized centrally, and access is shared with the right teams.

This makes research knowledge easier to discover, reuse, and scale across the organization.

Documentation & Knowledge Management Automation

Frequently Asked Questions

What is R&D workflow automation?

R&D workflow automation is the use of software to automate research and development processes such as experiment tracking, approvals, data management, and collaboration. It helps R&D teams reduce manual work and focus more on innovation.

How does research workflow automation improve R&D efficiency?

Research workflow automation improves efficiency by eliminating manual handoffs, reducing delays, and keeping data in sync across tools. Automated workflows ensure R&D tasks move faster and stay organized from idea to execution.

How does viaSocket support R&D automation?

viaSocket supports R&D automation by connecting research tools, spreadsheets, databases, and internal systems into automated workflows. When a research update, approval, or milestone occurs, viaSocket automatically triggers the next steps.

What research and product development processes can be automated?

With product development automation, teams can automate research approvals, experiment updates, documentation workflows, status tracking, internal notifications, and cross-team collaboration between R&D, product, and engineering teams.

Do R&D teams need coding skills to use workflow automation?

No. viaSocket is a no-code workflow automation platform. R&D teams can build and manage automated research workflows using a visual interface, without writing code or relying on engineering teams.

How does R&D automation help teams scale innovation?

R&D automation helps teams scale by keeping workflows consistent, data accurate, and communication clear as research projects increase. This allows organizations to run more experiments and development cycles without increasing operational complexity.