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10.

Argust

Research and decks

VISION INTELLIGENCE · 2024

Argust

Turning ordinary CCTV into a clearer view of how people move, pause and choose.

00 · THE MANDATE

I shaped the product before there was a product to explain.

I led the research and business analysis behind Argust: defining the opportunity, mapping competitors, planning features, testing the proposition with potential clients and turning an early capability into something a buyer could understand.

The work covered the name, positioning, prototypes, sales conversations and the visual direction for a product video made for GITEX Dubai 2024.

Role
Product Strategist
Focus
Research, product definition & business development
Proof
Prototypes, pitches, field data & a retail pilot

THE PRODUCT-DEFINITION PATH

01Raw capabilityComputer vision across existing CCTV feeds
→
02Market choiceRetail and hospitality operations, not generic surveillance
→
03Buyer problemMovement and dwell translated into operational questions
→
04Field proofA pilot narrative grounded in observed store data

01 · RESEARCH BEFORE ROADMAP

The category was noisy.
The product needed a point of view.

I started with a broad technical capability—computer vision on existing CCTV—and studied the category end to end: market direction, regional demand, adoption barriers, feature patterns and the distance between enterprise claims and buyer reality.

  • Competitive and positioning analysis
  • Feature inventory and phased prioritisation
  • SWOT and market-gap analysis
  • Use-case mapping and buyer conversations
Hand-drawn research desk with matrices, feature cards, notes and a camera
Hand-drawn analytics including footsteps, dwell time, a heatmap and visitor counts

02 · THE PRODUCT THESIS

Use the cameras already there. Add the intelligence that was missing.

Argust was positioned as a hardware-agnostic intelligence layer for existing CCTV networks. Edge processing translated video into privacy-conscious operational signals instead of another wall of footage.

footfalldwellheatmapsqueuesdemographic patternsconversion
A selected Argust deck page mapping the planned feature architecture
One of the few public excerpts from the working deck.
Hand-drawn isometric supermarket A playful hand-drawn Plato carrying a scroll A playful hand-drawn Aristotle inspecting the shelves A playful hand-drawn Socrates walking through the store dwell · 08:42 aisle 03 ↑

03 · A STORE THAT CAN READ THE ROOM

Plato enters. Aristotle pauses. Socrates takes the long way round.

The historical cast is a visual joke; the questions are operational. Where do visitors enter? Which zone earns attention? When does a queue form? Where does browsing turn into buying?

Those observations could inform staffing, planograms, campaigns and store design without replacing human judgement.

04 · DWELL HAS CONTEXT

Homer is still at the café.
The Odyssey takes time.

A long visit can mean friction in one space and loyalty in another. I structured the use cases around context: table occupancy, service flow, repeat patterns and the relationship between time, place and intent.

Hand-drawn isometric café A playful hand-drawn Homer writing at a café table 04 · returning
Hand-drawn isometric farmers market A playful hand-drawn Hypatia choosing fruit stall 06 · +18%

05 · FROM AISLE TO AGORA

Hypatia follows the fruit, not the dashboard.

The model had to survive outside a perfect floor plan. Markets, cafés and hospitality spaces introduced looser paths, mixed zones and changing patterns—useful pressure tests for the product logic.

06 · HOSPITALITY, NOT SURVEILLANCE THEATRE

Notice the queue before the guest has to mention it.

In hotels and restaurants, the value lay in unobtrusive signals: lobby flow, service bottlenecks, occupancy patterns and better staff allocation. The framing stayed grounded in operations—not novelty.

Hand-drawn isometric boutique hotel lobby A playful hand-drawn Xenophon looking for the right counter lobby flow · clear

07 · FIELD PROOF · MANYAVAR

A proposition became numbers a retail team could act on.

A Manyavar pilot translated live store movement into a compact operational story. The recorded sample showed how external footfall, store entry, dwell and visit patterns could sit together in one decision layer.

4,670passersby observed
92store entries
59 minaverage dwell
8–9 PMrecorded peak window
Selected project-deck excerpt showing the Manyavar pilot metrics
Field-data summary from the Manyavar pilot.

Pilot figures reproduced from the project deck; presented as an observed snapshot, not a universal benchmark.

08 · FROM ANALYSIS TO A SALES STORY

I gave the product a name, a sequence and a reason to believe.

“Argust” borrowed from the many-eyed giant of Greek myth: a memorable shorthand for distributed vision. Potential-client conversations shifted the proposition away from model specifications and toward questions buyers could act on: queue pressure, zone performance, staffing, layout and conversion.

  1. 01Coin the name and define the promise
  2. 02Prototype the experience and reporting layer
  3. 03Pitch, listen and refine the commercial case
  4. 04Direct the GITEX Dubai 2024 product story

09 · THE BIGGER PICTURE

A city is a thousand small decisions in motion.

Argust began with a simple strategic move: make existing infrastructure more useful. The work turned research, features and field conversations into a legible product—one that could see patterns without losing sight of the people inside them.

A bustling hand-drawn city square with an ancient Greek agora, market stalls, cafés and passersby