Predicting the why.
A behavioural intelligence framework for understanding human action in AI systems. The systems that understand users deeply will outperform those that only track them.
The paper, at a glance.
If you only have a minute — the proposal in four questions and one framework, in plain business language. No academia.
Four weeks. 19 May → 14 June 2026.
Lock the instruments
Finalise the framework, interview protocol, and survey. Outreach to 10–12 interviewees.
Interviews & survey live
5 expert interviews, one per day. Survey deployed and accepting responses.
Case analysis
Two AI systems analysed through the ABSD lens using public documentation.
Coding & synthesis
Thematic analysis. Cross-method refinement of the framework.
Draft, review, submit
Mentor review cycles. Final revisions. Submission 14 June 2026.
Three ways to read the same paper.
The same content, different reading contexts. Built for the taxi, the desk, or the projector.
the why.
On-The-Go Brief
A phone-first scrollable essay. The whole proposal in 5–7 minutes — perfect for between meetings or in a taxi.
The data is there. The interpretation isn't.
Mobile Presentation
13 swipeable screens with progress dots — feels like a Stories-style walkthrough. Great for sharing as a single link.
ABSD — four layers from action to motivation.
Slide Deck
12 slides at 16:9 — for projectors, screen-share, or boardroom contexts. Save to PDF via print.
Open research. You can take part.
This work needs practitioner input. If you build AI products — in customer experience, education, or anywhere AI meets users — your perspective sharpens the framework. Take the 5-minute survey, or walk through an interview at your own pace.
For when the conversation goes deeper.
Annexures A and B are formal documents in their own right. The full paper has the complete proposal with literature review, ethics, and references.
Complete proposal
Long-form HTML version with all sections, ethics, contributions, references. Side TOC and print-to-PDF support.
Interview Protocol
The formal protocol — 15 semi-structured questions for expert practitioners, mapped to RQ1, RQ2, RQ3.
Survey Instrument
The formal instrument — 15 questions across 4 sections: benchmarking, recognition, mapping, utility.
Guided interview walkthrough
The interview protocol as a step-by-step experience. Each question has briefing + paper context + private note-taking.
Practitioner Survey
The instrument as a working clickable form. Each answer saves instantly with a timestamp. Exports CSV/JSON.
Hosting Guide
20-minute walkthrough for deploying predictwhy.com on Netlify and wiring the survey to Google Sheets.