A structured approach to stakeholder interviews that captures insights systematically and enables cross-interview analysis.
Discovery interviews are the foundation of consulting insight. But unstructured conversations produce unstructured data—hard to analyse, impossible to compare, and easy to forget.
This framework provides a repeatable structure for discovery interviews that balances conversational flow with systematic capture. Each interview follows the same phases while adapting to stakeholder context.
The goal isn't robotic consistency—it's ensuring that essential information is captured in a format that enables synthesis across multiple interviews and stakeholders.
Explain the purpose, confirm time available, establish confidentiality expectations. Build rapport before diving into content.
Understand the stakeholder's position, scope of influence, and relationship to processes under discussion. This contextualises everything that follows.
Map existing processes, systems, and pain points. Use open questions: 'Walk me through how X works today.' Capture specifics: volumes, frequencies, time spent.
For each pain point mentioned, explore: frequency, impact, root cause, attempted solutions. Quantify where possible: 'How often does this happen? How much time does it take?'
What would ideal look like? What constraints exist? What past changes worked or failed? Understanding appetite for change is as important as identifying opportunities.
Summarise key points, confirm understanding, identify any follow-up needed. Ask: 'Who else should I speak with about this?'
Initial discovery phase of any consulting engagement
Gathering requirements for AI or automation projects
Understanding pain points across an organisation
Building business cases with stakeholder evidence
Identifying opportunities that span multiple departments
Any situation requiring systematic stakeholder input
Jumping to solutions during the interview instead of staying in discovery mode
Taking notes in unstructured free-text that can't be analysed later
Asking leading questions that confirm your hypotheses
Focusing only on problems without understanding current state context
Not capturing quotes verbatim for evidence in deliverables
Interviewing only the stakeholders suggested by the project sponsor
Auditic's interview capture implements this framework with structured templates that guide the conversation while categorising responses automatically.
Phase-based templates: Interview guides that follow the framework phases while allowing free-form responses within each section.
Automatic categorisation: Pain points, opportunities, and stakeholder quotes are tagged as you capture them. No post-interview processing required.
Cross-interview analysis: AI identifies patterns across all interviews in an engagement. Similar pain points cluster. Themes emerge. The full picture becomes visible.
Complete question bank for AI and automation discovery interviews
See how Auditic applies Discovery Interview Framework automatically.