From Research to Executive Presentation: My AI-Powered Design Workflow
- Arushi Yadav
- Jun 15
- 2 min read
"What used to take me three days can now take three hours, if I use AI correctly."
As an Experience Designer, I treat AI as amplification, not replacement. Over the past year I’ve rebuilt my workflow so routine friction is handled by AI, and the human work (empathy, judgement, and craft) is protected and prioritised. Here’s a practical walkthrough of how I move from raw research to an executive-ready presentation, faster and with clearer impact.
1) Research intake: capture everything, lose nothing
Collect interview transcripts, session notes, analytics exports, and competitor screenshots.
Use an AI assistant to clean and normalise text (remove filler, tag speakers, and timestamp highlights).
Result: a searchable corpus that’s ready for synthesis instead of manual transcription drudgery.
2) Synthesis & insight generation: focus on meaning, not formatting
Feed the cleaned corpus into AI to surface recurring themes, pain points, and surprising quotes.
I ask targeted prompts: "Summarise user frustrations about onboarding in 3 bullet insights with supporting quotes.”
Human step: validate and reframe those insights against my contextual knowledge and business goals.
Result: concise insight statements and affinity clusters ready for mapping.
3) Journey mapping & prioritisation: turn insights into decisions
Use AI to draft an initial journey map and to flag opportunity areas (frequency × severity).
I overlay business metrics and stakeholder constraints, then use the map to prioritise experiments.
Result: a decision-driven artefact that aligns research with product priorities.
4) Concept exploration & prototyping: iterate faster
Prompt AI to generate a range of interaction patterns, content variants, and microcopy options.
Rapidly prototype the strongest directions; use lightweight usability tests or moderated sessions to validate.
AI helps aggregate quick test results and produce suggested iterations.
Result: higher-quality prototypes with multiple validated alternatives without losing speed.
5) Executive presentation: craft the narrative, not the slides
Use AI to convert research findings and design rationale into a crisp story arc: problem → insight → option → recommendation → impact.
Generate slide outlines, headline copy, and talking points. Then I rewrite with tone and nuance for the audience.
Finish by building visuals: journey snippets, concise data callouts, and a single clear recommendation slide.
Result: a deck that executives can scan in 60 seconds and that supports a focused conversation.
Key guardrails I never skip:
Always validate AI outputs against raw data and context.
Keep human-centred artefacts (quotes, recordings, sketches) as primary evidence.
Use AI for drafts, not final judgements; critical decisions stay human.
Final thought: AI frees my calendar from clerical work so I can spend more time on the craft of design, building empathy, debating trade-offs, and shaping strategy. If you treat AI as infrastructure, you protect the uniquely human inputs that make experiences meaningful.
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