Podcast Interview Questions: Reusable Workflow Guide
Podcast interview question banks are useful exactly once: in the planning phase. After that, they become a crutch. The goal of a question list is to help you prepare faster and more consistently, not to give you a script to read from. A host who reads from a list sounds like a host who didn’t prepare. The irony is that heavy reliance on scripted questions is often the result of under-preparation, not over-preparation.
This guide covers how to use a question bank as part of a repeatable production workflow — so that your prep is faster, your episodes are more consistent, and you don’t have to rebuild the same plan from scratch for every guest.
The Actual Problem: Prep Is Repetitive and Uneven
Every guest requires the same basic work: research, context setting, question planning, recording notes, and follow-up. Without a system, hosts either skip prep (and it shows) or spend an hour per episode doing the same tasks in a slightly different order. A question bank solves the second problem. A pre-interview workflow checklist solves both.
Riverside’s resource provides a large collection of interview question templates, which is a practical starting point. The value is not in using their specific questions — it’s in having a structured starting set that you can filter, adapt, and refine into your show’s format.
Reframe the Question Bank as a Production System
Don’t think of a question bank as a list of things to ask. Think of it as a library you build a session plan from. The process:
- Research the guest: Before opening the question bank, spend 20–30 minutes on the guest’s work, recent writing or talks, publicly stated positions, and what your audience would most want to know about them. Note three to five angles that seem most interesting.
- Select question categories: Most question banks organize by type — warm-up, background, expertise, opinion, story, lesson, forward-looking. Pick the categories most relevant to your show’s format and this specific guest.
- Adapt to the person: Take the selected questions and rewrite them with the guest’s specific work in mind. “What made you change direction?” becomes “You went from agency work to building a solo product in 2022 — what triggered that shift?” The second version is not from a template.
- Build a session plan, not a question list: Sequence your adapted questions into a narrative arc: opening (establish who they are), middle (the main substance), and close (takeaways, future, one recommendation). This is what you actually use in the recording.
- Mark flexibility points: Highlight which questions are essential and which are nice-to-have. Conversations go in unexpected directions — the flexibility points are where you can skip or go deep without breaking the episode structure.
Useful Question Categories for Work-Related Podcasts
For a podcast aimed at knowledge workers, creators, and small teams, the most consistently useful question types:
- Decision questions: “What made you choose X over Y?” These reveal reasoning, not just outcomes, and generate stories naturally.
- Mistake or lesson questions: “What did you get wrong in the first year?” More interesting than success stories and produce concrete, useful content for the audience.
- System or workflow questions: “Walk me through how you actually do this.” Practical and replicable by the audience.
- Opinion or prediction questions: “What does most coverage of this topic get wrong?” Generates distinct, non-generic answers.
- One-concrete-thing questions: “What’s one thing you’d have done differently?” Forces specificity and good episode endings.
How AI Tools Fit Into This Workflow
AI can help with two preparation steps: research aggregation and question draft generation. You can prompt an AI tool with a guest’s background and ask for five potential angles or follow-up questions. The output is a draft, not a finished plan — review it for accuracy, adapt it to your voice, and remove anything that sounds generic. AI-generated questions tend to be broad; your job is to make them specific.
For context on the full production workflow after the interview is recorded, see our guide on publishing a podcast to Spotify.
Do not use AI-generated question lists directly in the interview without reviewing them. Factual errors or mischaracterizations in questions reflect on the host, not the tool.
Templates vs. Formulaic Episodes
The risk of heavy question-bank use is that episodes start to feel the same. Guests who have been on many podcasts will recognize when a host is using standard template questions (“If you could go back and give your younger self one piece of advice…”) and give their standard template answer. Distinctive shows come from hosts who ask questions nobody else thinks to ask — which requires research, not a question list.
Use the question bank to ensure you have coverage and structure. Use your research to make the questions feel like they were written for this specific guest.
Post-Interview Production Notes
Include a notes field in your session plan for things that came up mid-interview: key timestamps for editing, moments to highlight, follow-up links to add to the show notes, and any guest corrections needed. Capture these immediately after recording while the conversation is fresh. This reduces the time spent re-listening to the full episode when editing and writing show notes.
Source: Riverside — 100+ Podcast Interview Questions for an Engaging Episode, used as a research reference. Riverside is a video and podcast recording platform vendor. The question bank categories and workflow approach described here draw from general podcast production practice and are not a direct reproduction of their specific questions.