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Ardavan Mir

Research & Strategy

Research folio R.05 · Fieldnotes

Visual product research · Learning experience

Fieldnotes

A Visual Guide to AI-Native Product Design

From product examples to design decisions. An evolving research guide for choosing what to delegate, what to expose, where human judgment belongs, and how people return to continuing work.

Fieldnotes editorial cover. The learning journey is Explore, Understand, Compare and Apply. Edition 0.4 contains nine design lessons, three ongoing-work cases and 21 retained source visuals.
Original editorial figure · Explore an example, understand its mechanism, compare approaches and apply the lesson to a design task. Open the Fieldnotes cover at full size (opens in a new tab)

Stage 01 · Ambiguity

When does an example become a defensible decision?

A polished product example can suggest an interaction while leaving its most consequential behavior outside the frame. A review button may be visible without showing what is approved. An activity list may show progress without demonstrating how someone resumes the work tomorrow.

Fieldnotes connects what a source actually shows to a mechanism, the conditions in which it could fit, the tradeoff it introduces, and a question to test. The aim is to make a reference useful beyond the product or visual style that first inspired it.

Stage 02 · Structure

Follow the evidence into the decision.

The work combines desk research, close visual analysis, comparison across products and research synthesis. Earlier source collections were reconciled with the guide’s current records to preserve useful examples and identify gaps for fresh investigation.

Each reference retains its source and exact visual state. The analysis separates visible observation, interpretation and behavior still needing verification. A product illustration, an edited demonstration and an independently observed task support different claims.

From there, the reader decides what to preserve, what to adapt, and what to investigate. A code review may suggest keeping an explanation beside an inspectable change. Transferring that idea still requires choosing the right unit of review: a sentence, a record, an amount or a consequence.

Three connected parts of the research method: observe the exact source and its limits; interpret the design choice and compare alternatives; apply it to a task with explicit adaptations and open questions. Evidence stays attached to the decision.
Original editorial figure · Keep what the source shows, how the choice is interpreted and what should change in another context distinct. Open the research method figure at full size (opens in a new tab)

Stage 03 · Prototype

Three decisions that shaped the guide.

Organize around the designer’s task

The nine lessons address decisions such as defining scope, reviewing a change, setting authority, correcting a proposal, recovering state and returning to work. Product examples sit inside those questions, allowing different interfaces to be compared without treating visual similarity as proof that they solve the same problem.

Make the tradeoff part of the lesson

Object selection can make intent precise while missing context elsewhere. A checkpoint can offer a restoration target while leaving external effects unresolved. A named assistant can create a recognizable place to return while obscuring which artifact contains the authoritative result. These tensions give designers something concrete to investigate.

Let research become a working brief

Readers can select relevant references, compare approaches and record decisions for their own task. A saved, exportable brief carries an evidence appendix, keeping the rationale and its limitations close to the proposed design.

Stage 04 · Evidence / Latest chapter

Beyond the Assistant

The latest chapter examines work that continues across time, decisions and surfaces through OpenAI Dots, Grok Bot and Muse by Meta. Six editorial questions guide the comparison:

  1. Continuity

    What should the user recognize tomorrow?

  2. Initiative

    What earns the right to begin or interrupt?

  3. Authority

    Which exact action is the person deciding?

  4. Correction

    How does new information change the proposed work?

  5. Return

    What changed and what needs judgment now?

  6. Outcome

    What proves the action’s result, and how can it be repaired?

Six questions for ongoing AI work: continuity asks what remains recognizable; initiative asks what can begin or interrupt; authority identifies the exact decision; correction responds to new information; return surfaces changes and needed judgment; outcome asks what proves the result and how it can be repaired.
Original editorial figure · Beyond the Assistant examines continuity, initiative, authority, correction, return and outcomes. Open the ongoing-work questions figure at full size (opens in a new tab)

Dots · Keep prepared work inspectable

Published launch examples place a review request and proposed fix beside a work surface, and show revision after a changed requirement. They suggest keeping judgment close to a specific result; completed merge or publication remains outside the evidence.

Grok Bot · Bind permission to a defined scope

An incident example exposes a proposed batch, exclusions and exact message before authorization. The lesson connects permission to the work it covers, with a separate need to establish what happened afterward.

Muse · Give continuing work recognizable places

Goals, activity, checkout approval and artifact previews answer different return questions. The published images concern different tasks, so their connection is a research question rather than an assumed continuous journey.

The chapter adds seven visual assets and reuses two existing Muse references. Revisiting a source preserves the research history; it does not create an independent observation.

Stage 05 · Story

A learning journey that ends in a decision.

Explore → Understand → Compare → Apply. The interactive guide brings traceable references, focused comparisons and an editable brief into one experience. Maya, an illustrative exercise, rehearses correction and review before publication. The latest chapter adds prompts for standing responsibility, authority, retained context and recovery.

09
Design lessons
03
Additional ongoing-work cases
21
Retained source visuals

The delivered work is a working guide and portable research package. The latest edition extends the lessons while preserving previously saved work. These counts describe the artifact’s scope.

Recorded guide checks covered source consistency, saved-work preservation, brief assembly, navigation, image inspection and desktop and narrow layouts. They establish qualities of the guide, not authenticated end-to-end testing of the researched products. Effects on designers’ judgment, review effort and downstream product outcomes remain unmeasured.