Service · Product

Digital Products that get used.

Internal and customer-facing platforms designed so operations adopt them and the business defends them. No orphaned projects after go-live.

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Typical timeline
3–9 months
Stack
Web · Mobile · Backoffice
Model
Discovery + delivery
Adoption
Signed metric

The problem

Products that ship and nobody uses.

Roadmaps that shift with the wind, discovery that ends before talking to the user, and a go-live celebrated in a meeting no one from operations attended.

Traditional Software Factory

Delivers and leaves

  • Cosmetic discovery before the commercial proposal.
  • Long backlog that nobody reviews with the real user.
  • Design and delivery disconnected from operations.
  • Success metric: features delivered, not adoption.
  • Team leaves at go-live; client keeps the tech debt.

ABARGON Digital Products

Editorial discovery + run

  • Editorial discovery that reframes the problem before the backlog.
  • Backlog prioritized by risk and adoption, not by age.
  • Design, delivery, and operations under one squad.
  • Success metric: adoption measured and reported to the board.
  • Run included with handoff plan and visible tech debt.

Methodology

Discovery, build, run, handoff.

The product doesn't end at the demo. It ends when the client's team operates it without us.

  1. Editorial Discovery

    We reframe the problem with the real user before touching Figma. One page, one hypothesis.

  2. Build with Squad

    Design, engineering, and operations in the same squad. Biweekly demos open to the board.

  3. Run with Metrics

    Phased launch with signed adoption metrics and an explicit iteration plan.

  4. Handoff

    Living documentation, operational runbook, and explicit exit plan with visible tech debt.

Platform types

Three formats we deliver.

The method is the same. The scope is not.

Type 01

Internal platform

Backoffice, ERP-adjacent, or operations portal. Measurable productivity gains and fewer tickets.

Type 02

Customer product

Web or mobile product the end customer uses for self-service, onboarding, or tracking.

Type 03

Data platform

Data layer ready for product and AI. Model, governance, and consumption from the first cycle.

Next step

Is your last platform actually used or just justified?

In 60 minutes we diagnose real adoption and pinpoint the friction the roadmap ignores.

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