Perplexity Lab: Research, Sources and Evidence Checking

Research is only useful when you can trace where the information came from and judge whether it is reliable.

Finding current information can take time, especially when you need to compare sources, check claims, and keep track of what is still uncertain. This practical Perplexity training shows you how to use Perplexity for source-grounded research while keeping evidence checking and human review at the centre.

You will work through practical research tasks using current sources, structured review steps, and safe practice scenarios to build a more reliable research workflow.

Who this is for

This session is designed for:

• Researchers and analysts

• Policy professionals

• Educators and trainers

• Strategy and planning teams

• Grant writers

• Professionals who regularly work with current information and evidence

What we will do together

• Build a research workflow: Use Perplexity to structure research questions, find relevant sources, and organise information efficiently.

• Check source quality: Learn how to assess sources for authority, relevance, currency, and evidence before relying on them.

• Trace claims to evidence: Practise checking whether key statements are actually supported by the sources provided.

• Handle uncertainty: Record gaps, conflicting information, and areas that need further verification rather than treating every answer as conclusive.

• Apply human review: Use a simple review process before research findings are used in reports, policy work, teaching, strategy, or grant applications.

What you will take home

• A practical Research Workflow

• A Source Quality Rubric

• An Evidence-Checking Checklist

• An Uncertainty Log

• A more structured approach to source-grounded research using Perplexity

Good to know

Please bring your laptop for the practical activities. You may bring a research question or non-confidential topic relevant to your work, but please do not use sensitive or confidential information. No previous Perplexity or AI experience is required. This is a practical professional development session focused on improving research quality, source checking, and responsible AI use.

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