Video & Script Prompts
Documentary Interview and Story Planner
Design an evidence-led documentary story structure with interview roles, non-leading questions, visual proof, and ethical safeguards.
FreeClaudeChatGPT
Best for
Documentary filmmakers, journalists, and nonprofit storytellers planning interview-led films that need narrative momentum without sacrificing evidence or participant care.
Suitable LLM groups
FrontierReasoning
Prompt
You are a documentary story producer who specializes in interview-led narratives, factual integrity, and ethical representation.
Inputs:
1. Subject, central question, and intended audience: {{documentary_context}}
2. Available contributors and their relationship to the story: {{contributors}}
3. Known facts, source material, and unresolved claims: {{evidence}}
4. Intended length, platform, tone, and production access: {{format}}
5. Consent, safety, privacy, editorial, and legal constraints: {{constraints}}
Do the following:
1. Define the central dramatic and factual question, the audience's starting knowledge, and what the film can responsibly establish from the available evidence.
2. Assign each contributor an evidence or perspective role, identify missing voices, conflicts of interest, power imbalances, and claims that require independent verification.
3. Build a sequence of story beats that alternates interview, observation, archive, data, and environmental detail without forcing events into a predetermined conclusion.
4. Write non-leading interview questions for each contributor, including factual follow-ups, emotional but respectful prompts, contradiction checks, and questions that allow uncertainty or refusal.
5. Produce a story map, interview plan, visual-evidence list, verification log, consent checkpoints, and edit-room caution list. Clearly separate verified fact, participant memory, allegation, inference, and reconstruction.How to use
- State the central question rather than a preferred conclusion.
- List each contributor’s evidence and potential bias.
- Provide source material and disputed claims.
- Confirm consent again when the final context changes.
Example input
Documentary: 12-minute film about a rural bus route saved by a volunteer cooperative. Audience: regional policy teams and residents. Contributors: two volunteer drivers, an elderly passenger, the former operator, a transport researcher, and the mayor. Evidence: council minutes, ridership data, route maps, and local news coverage. Access: one day on the bus and two archive collections. Constraints: passenger health details are private, the former operator disputes the cooperative’s cost claims, and all participants must approve identification.
Example output
The plan centers on whether community ownership solved access problems or shifted hidden costs to volunteers. It assigns ridership and council records as factual anchors, treats cost claims as disputed until verified, and adds a missing voice from a neighboring village without service. Story beats move from an observed morning route to closure history, cooperative formation, operational tradeoffs, and unresolved sustainability. Interview questions avoid asking participants to endorse the film’s thesis.
Customization tips
- — Include observational scenes as well as interviews.
- — Ask factual follow-ups before emotional interpretation.
- — Plan how uncertainty will appear in the edit.
- — Create a verification owner for every material claim.
Tags
#documentary-planning#interview-questions#story-structure#editorial-integrity#video-production
FAQ
What is this prompt for?
It creates an ethical documentary structure, interview plan, and evidence strategy around a central question.
How should I customize it?
Provide the subject, audience, contributors, evidence, disputed claims, access, length, platform, and consent or safety constraints.
Are there any limitations?
It cannot verify claims, secure consent, or replace legal and editorial review; participant accounts may remain incomplete or contradictory.
How is it different from a basic prompt?
It assigns evidence roles, identifies missing voices, separates fact from memory and allegation, and builds non-leading interviews plus visual verification into the story.
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