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Interviews

AI-led discovery interviews that collect structured insights from participants over text or voice, then turn each conversation into a discovery document

Interviews let an Interview Agent run AI-led discovery conversations with people outside DarcyIQ β€” customers, stakeholders, end users, or prospects. You define what the interview should cover, publish a shareable link, and the agent conducts each conversation over text or voice. Every completed session is automatically turned into a structured discovery document you can read, edit, and feed back into the project.

Interviews live inside a project and appear as the Interviews tab on the project detail page.

Who Is This For?

Interviews are built for any team that needs to gather structured input from many people without manual note-taking:

  • System Integrators & Consultants β€” run discovery interviews with client stakeholders before scoping an engagement

  • Product Teams β€” collect structured feedback from end users and customers

  • Pre-Sales / Solutions Teams β€” capture requirements from multiple stakeholders in parallel

  • Customer Success β€” gather onboarding context or quarterly review input

  • Research Teams β€” conduct repeatable, consistent interviews at scale

Key Benefits

Benefit
Description
Business Impact

AI-Led Conversations

The Interview Agent asks your questions, follows up naturally, and keeps the conversation on track

Consistent, high-quality interviews without a human moderator

Text or Voice

Participants choose to type their answers or just talk (Amazon Nova Sonic voice)

Lower friction and higher completion rates

Structured Topics

Define topics and questions; the agent ticks each one off as it's covered

Comparable, structured results across participants

Self-Serve Link

Publish a password-protected public link participants join on their own schedule

Eliminate scheduling overhead

Automatic Discovery Docs

Each completed session produces an editable discovery document

Insights ready to use, not raw transcripts

Project Knowledge

Optionally arm the agent with the project's knowledge bases and MCP tools

Context-aware questions grounded in your data

Templates

Scaffold a starter set of topics and questions from a template

Launch a well-structured interview in minutes

How Interviews Work

Component
Function

Interview

A configured discovery conversation that belongs to a project

Interview Agent

The project's assigned agent that conducts the conversation

Welcome Message

The greeting participants see before they start

Topics & Questions

The structured checklist the agent walks through

Public Link

The password-protected URL participants use to join

Session

One participant's interview run

Discovery Document

The structured artifact generated from a completed session


Creating an Interview

1

Open the Interviews tab From the project detail page, click the Interviews tab.

2

Click "New Interview" A new draft interview is created and opens to its configuration page. You can rename it at any time.

3

Configure the three steps Work through Interview Details, the User Welcome Message, and Topics & Questions (see below). Changes save automatically.

4

Publish Once the welcome message and at least one question are in place, click Publish to generate the public link and password.


Configuring an Interview

The configuration page is a three-step wizard. You can jump between steps freely, and everything saves automatically β€” there is no manual save button.

Step 1 β€” Interview Details

Field
Description

Interview Name

Internal label shown in the project's interview list and the host UI. Not shown to participants.

Interview Description

Optional internal summary of what the interview is about.

Access Password

The password participants must enter to join. Auto-generated; copy it with the copy button or edit it.

Include Project Knowledge

When on, the Interview Agent's knowledge bases and MCP tools are attached to the interview chat so it can answer with project context. When off, the agent runs prompt-only.

Step 2 β€” User Welcome Message

A short Markdown greeting shown to the participant on the text or voice screen before the conversation starts. Use it to set expectations, explain the purpose, and thank them for their time.

The welcome message is required to publish. It's the only host-authored copy participants see before they begin, so keep it warm and clear.

Step 3 β€” Topics & Questions

Define the structured checklist the Interview Agent walks through. Each topic groups a set of questions, and the agent covers them one by one, asking natural follow-ups as needed.

  • Add topics and questions manually, reorder them with the up/down controls, and remove any you don't need.

  • Topic description (optional) gives the agent extra context about what to keep in mind while exploring that area.

  • Templates β€” click Templates to scaffold a starter set of topics and questions. Some templates include a few quick fields to fill in (for example, a product or company name) that are substituted into the generated questions. Picking a template replaces your current topics, so you'll be asked to confirm if you've already added some.

  • Start blank β€” write everything yourself instead of using a template.

At least one topic with at least one question is required to publish.

The wizard flags steps that still need content with an amber "Required to publish" marker, so you can see what's blocking publish at a glance β€” without having to click Publish first.


Publishing & Inviting Participants

Publishing

Click Publish (in the header or from the final wizard step). Publishing generates a public link and confirms the access password. The Interview published dialog gives you:

  • the public link participants follow,

  • the access password,

  • a ready-to-send invitation message that bundles both, and

  • an Invite a participant button that opens the invite dialog.

Sending Invites by Email

Click Send Invites (or Invite a participant) to open the invite dialog. Paste one or more email addresses β€” separated by commas, spaces, or new lines β€” and each recipient receives a branded email containing the public link and password. The interview must be published before you can send invites.

Status & Lifecycle

Status
Meaning

Draft

Being configured; not yet joinable. The public link doesn't work yet.

Published

Live and accepting participants.

Closed

No longer accepting new participants. You can Republish at any time.

Use Unpublish in the header to close a live interview. In-progress sessions can still finish, and you can republish later.


The Participant Experience

Participants never see the project, the host UI, or your internal interview name β€” just a clean, branded interview page.

1

Open the link The participant follows the public link.

2

Enter details They provide their name, email, and the access password to join. Each participant can join once.

3

Choose a mode They pick Text (type answers in a chat) or Voice (talk to the agent out loud). They can switch modes mid-interview, though switching restarts the conversation.

4

Have the conversation The Interview Agent greets them with your welcome message and works through your topics. A progress panel shows which topics have been covered as the conversation unfolds.

5

Finish The agent wraps up when it has covered everything, or the participant can end early. They see a simple "Thank you!" confirmation.

Voice responses are transcribed to text, so results are captured consistently regardless of which mode the participant chooses. Suggest participants set aside ~15–30 minutes of uninterrupted time.


Sessions & Discovery Documents

The Sessions tab on the interview detail page shows every participant who has joined.

Tracking Sessions

  • Search participants by name or email.

  • Status is shown as a pill: Not started, In progress, or Completed, along with start/completion times and the session duration.

Discovery Documents

When a session completes, the interview generates a discovery document β€” a structured artifact summarizing the participant's answers, organized around your topics and questions. From the Sessions tab you can open the document in a side panel to read, edit, and refine it. Because discovery documents are standard artifacts, they can be reused anywhere artifacts are used across the project.


Best Practices

Practice
Recommendation

Keep topics focused

A handful of clear topics with 2–4 questions each beats one long, sprawling checklist.

Write a welcoming greeting

The welcome message sets the tone β€” explain the purpose and how long it will take.

Start from a template

Templates give you a well-structured baseline you can refine, instead of a blank page.

Enable Project Knowledge

Turn it on when participants may ask about your product or project so the agent can respond with context.

Test the link yourself

Open the public link in a new tab and run through the join flow before sending invites.

Review discovery docs early

Read the first few completed sessions to confirm the topics are eliciting the answers you need.

Close when you're done

Unpublish the interview once you've collected enough responses; republish later if you reopen it.

Next Steps

Goal
Documentation

Set up the project that hosts interviews

Turn discovery into requirements

Learn about the agents that run interviews

Configure knowledge bases for context

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