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Overview

Research context tells Aseed what you want to learn and how interviews should run. Aseed uses this context in report generation. You can add research context in two ways:
  • AI Generation: Use the AI Agent to generate a Research Context Brief through an interactive Q&A session
  • Manual Entry: Write or paste your research goals and interview guide directly

Generate research context with AI

The AI Agent can build a Research Context Brief by asking focused questions about your project. The brief includes 11 sections: metadata, decision framing, product context, goals, questions, hypotheses, participants, method, analysis, outputs, glossary, and limitations.
1

Open AI Agent

Navigate to the AI Agent interface (available in the sidebar or at /space/agent). You’ll see an empty state with suggestion buttons.
AI Agent empty state showing suggestion buttons
2

Request Research Context

You can start in two ways:
  • Click the suggestion button: Click “Create Research Context” button in the empty state
  • Type a message: Ask the AI to create a research context brief. For example:
    • “Create a research context brief for my project”
    • “Help me define research goals and hypotheses”
    • “I need to prepare a research context”
3

Answer questions or provide materials

You have two options:Option 1: Answer questions interactively The AI will ask you questions about:
  • Research type and stage
  • Decision framing (what decisions will be made)
  • Product or service context
  • Research goals and questions
  • Target participants and segments
  • Research method and protocol
  • Hypotheses to test
  • Analysis approach
  • Expected outputs
Answer each question so the AI can build a complete brief.Option 2: Provide materials If you already have notes or materials, share them in your first message (or later when asked). The AI will extract what it can and ask follow-up questions only for missing details.
Tips for answering questions:
  • Choose your reasoning mode: Switch between Fast (2 tokens) and Thinking (5 tokens). Use Fast for most tasks and Thinking for complex cases.
  • Skip questions if needed: If you don’t know the answer, click the Skip button. The AI will ask alternative questions.
  • Long messages are automatically collapsed: If your message is longer than 500 characters, it will be collapsed with a “Show more” button. Click to expand and see the full message.
4

Review and generate

After gathering enough information, the AI will show a summary. Review it and confirm to generate the Research Context Brief.
5

View and save the brief

Once generated, you’ll see:
  1. Preview card in chat - A card showing the first few lines of the brief with a View button
  2. Full brief panel - Click View to open the complete brief in a panel on the right side
Use the Save button in the brief panel to:
  • Download as Markdown - Save the brief as a .md file with automatic filename formatting
  • Copy to clipboard - Copy the brief text for pasting elsewhere
  • Save directly to a project - Select a project from the dropdown to attach the brief to that project’s Research Goals field
Save dropdown menu showing Download, Copy options and project list with badges
When you save the Research Context Brief to a project, it automatically populates the Research Goals field in that project’s Research Context section. If the project already has research goals, you’ll be asked to confirm overwriting them.
Projects with research context show a “Has context” badge. Projects without it show “No context”.

Token usage and cost

The AI Agent uses tokens for each assistant message when generating Research Context Brief. You can choose between two reasoning modes:

Fast mode

Cost: 2 tokens per assistant messageUse Fast mode for quick responses and standard brief generation. This mode provides fast, efficient answers suitable for most use cases.

Thinking mode

Cost: 5 tokens per assistant messageUse Thinking mode for more complex research scenarios that require deeper analysis and reasoning. This mode provides more thorough responses and better handles nuanced requirements.
You can switch between Fast and Thinking at any time with the mode selector. Use Fast for speed and Thinking for deeper analysis. Tokens are charged only for assistant messages.
Example: If the AI asks 10 questions and you answer each one, that’s 10 assistant responses. In Fast mode, this costs 20 tokens (10 × 2). In Thinking mode, this costs 50 tokens (10 × 5). Your questions don’t cost tokens.
For more details about token usage and costs, see Token usage.

How to add research context manually

1

Open Research Context

Inside your project, scroll to the Research Context section below the project header.
Project page showing Research Context section with Research Goals and Interview Guide cards
2

Add research goals

Click on the Research Goals card. In the modal, describe:
Research Goals modal showing text area for entering research goals
  • What you’re trying to learn
  • Questions you want to answer
  • Hypotheses you want to test
  • Product or service context Click Save to store your goals.
3

Add interview guide

Click on the Interview Guide card. You can:
  • Paste your interview script or topic list
  • Use a guide created with the Interview Guide Builder - you can save AI-generated guides directly to projects
  • Write the guide manually Click Save to store your guide.
If you generated an interview guide using the AI Agent, you can save it directly to your project from the guide panel using the Save button.
Interview Guide modal showing text area for entering interview guide
4

View context

After saving, the context appears in the cards. Click View (or click the card) to see the full content. Click Edit to make changes.

Research Goals

Describe what you want to learn from the interviews. Include:
  • Research objectives
  • Questions you want answered
  • Hypotheses to test
  • Product or service context
  • Any specific focus areas

Interview Guide

Provide the structure of your interviews. Include:
  • Opening questions
  • Main discussion topics
  • Follow-up questions
  • Closing questions
Product Description:
A mobile banking app with instant transfer feature.

Research Goal:
Understand customer satisfaction with the new feature, focusing on challenges and emotions.

Additional:
Interested in frustrations and positive feelings while using the feature.
Opening:
- Thank you for participating
- Explain purpose and duration
- Confirm recording permission

Main Questions:
1. Tell me about your experience with [feature]
2. What challenges do you face?
3. How do you currently solve this?
4. What would make this easier?

Closing:
- Any additional thoughts?
- Thank you for your time

Documents (Coming soon)

The Documents card is currently in development. This feature will allow you to upload supporting documents that provide additional context for analysis.

How context is used

AI Interviewer

Research goals and interview guide are used as the default context for AI interview links in this project.

Report generation

Research goals and interview guide are automatically included when generating reports.

Batch generation

Context is applied to all records in batch operations.

Project reports

Context helps synthesize insights across multiple interviews.

Better analysis

Better context produces more relevant insights.

Best practices

Write goals as outcomes, for example “Understand why users abandon onboarding” rather than “Learn about onboarding.”
Keep interview guides structured but flexible. Include main topics and example questions, but allow for natural conversation flow.
Update context as your research evolves. If your goals change, update the Research Goals to reflect the new focus.
Use Interview Guide Builder to create structured guides for your research. You can save AI-generated guides directly to the project.
For new projects, use AI Agent to generate a Research Context Brief. The AI guides you through required sections and creates a document you can save directly to the project.
Select Fast mode (2 tokens) for quick responses and standard brief generation. Use Thinking mode (5 tokens) when you need deeper analysis for complex research scenarios. You can switch modes at any time during the conversation using the mode selector in the input area.
If you have existing research materials, documentation, or notes, you can provide them in your first message. The AI will analyze the materials and extract information, asking only follow-up questions about missing or unclear details. This can save time compared to answering questions one by one.
If you don’t know the answer to a question, click the Skip button on the question card. The AI will ask alternative questions to gather the information it needs. Skipping is useful when you haven’t decided on a particular aspect yet or the question doesn’t apply to your research.
You can ask the AI to modify an existing Research Context Brief. For example:
  • “Add more details about hypotheses”
  • “Update the participant segments”
  • “Change the analysis approach to focus on JTBD”
  • “Make the brief shorter”
The AI will regenerate the brief based on your modifications.
The AI uses validation to ensure your Research Context Brief is complete. If important information is missing, the AI will ask follow-up questions with different priorities:
  • Must questions: Critical information needed before generation
  • Should questions: Helpful but not required
The AI prioritizes “must” questions and won’t ask for confirmation to generate until all critical information is collected.
If there’s an error during generation (e.g., LLM service unavailable), the system uses a fallback template to create the brief from collected data. Fallback documents are marked with “(fallback)” in the title and include a warning message. While functional, fallback documents may lack some contextual refinement. You can regenerate the brief when the service is available.

Force specific tool calls

You can force the AI Agent to use a specific tool for your request. This ensures your message is processed with the right context and capabilities.
1

Select an action

You can select an action in two ways:Option 1: Use the action button
  • Click the + button in the input toolbar
  • Select an action from the dropdown menu:
    • Research Context: Force the AI to create research briefs
    • Interview Guide: Force the AI to generate interview guides
    • Documentation: Force the AI to answer questions about Aseed service
Option 2: Use slash commands
  • Type / in the message input
  • A menu appears with the same action options
  • Select an action to apply it to your message
The selected action appears as a badge next to the input. You can remove it by clicking the badge.
2

Send your message

Type your message and send it. The AI will process your request using the selected tool, ensuring the response is tailored to that specific function.
Forcing a tool is especially useful when you want to:
  • Ensure your research context request uses the Research Context tool
  • Make sure your guide request uses the Interview Guide tool
  • Get documentation-specific answers using the Documentation tool
When an action is selected, messages are marked with a badge indicating which tool is being used (e.g., “Context Builder”, “Guide Builder”, “Documentation”).

Ask questions about Aseed

The AI Agent can answer questions about Aseed features, workflows, and best practices. Click “Ask About Service” in the empty state or ask questions like:
  • “How do I create a project?”
  • “What report types does Aseed support?”
  • “How does batch generation work?”
  • “How do I export reports?”
You can also force documentation mode by selecting the Documentation action before asking your question. This ensures the AI uses the documentation tool to provide accurate, up-to-date answers. Messages with documentation answers are marked with a “Documentation” tag to indicate they’re based on Aseed documentation.