AI Interviewer
The AI Interviewer is Celeredge's conversational evidence-collection feature. Some of the most important inputs in consulting aren't written down — they live in stakeholders' heads. The AI Interviewer captures that by holding a topic-based conversation with a stakeholder and turning their answers into grounded, citable evidence the engagement can use.
It's an AI feature in the same family as the rest of the intelligence layer: what it captures becomes evidence that assessments, signals, and Ask the Data retrieve and cite — see Citations & Trust.
Who can access
Members of the engagement team launch interviews. Interviews are designed to be completed by stakeholders, including people outside the core team.
Inputs → processing → outputs
- Inputs: the topics you want covered, and a stakeholder to answer.
- Processing: the AI conducts a conversational interview — asking, following up, and steering toward the topics that matter for the assessment — and extracts the substance from the conversation.
- Outputs: structured evidence attached to the engagement, retrievable and citable like a document passage. It can directly fill the gaps an assessment surfaces.
Where you launch it
- Diagnose — as part of the evidence step before running an assessment (section 3 of the Diagnose checklist).
- Data & Evidence → Collect data — topic-based collection at any time.
Step by step
- From Diagnose or Data & Evidence → Collect data, start an AI interview.
- Choose the topics to cover.
- Share it with the stakeholder to complete conversationally.
- As responses come in, they become evidence on the engagement.
- Run or re-run your assessment so the new evidence is included.
Expected behavior & limitations
- The interviewer focuses on the topics you set — give it the right scope to get useful evidence.
- Evidence from an interview only affects assessment results on the next run — re-run after the interview completes.
- Like all Celeredge evidence, interview output is attributable: answers trace back to the interview as their source.
Best practices
- Use it to close evidence gaps. When an assessment returns Not grounded answers, an interview on that topic is often the fastest way to fill the gap.
- Target the right person. Direct each interview at the stakeholder who actually holds the knowledge.
- Keep topics focused. Tighter topics produce sharper, more citable evidence.