Design Program Management

From Icebox to a sprint-ready backlog

Magnetic backlog cleanup workshop

Giving Magnetic’s design team a clearer way to understand work, plan it, and keep ownership with the people doing it.

    • DPM & DesignOps
    Objective Icon
    • Cisco – Jun 2026 to Sept 2026
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The starting point

Magnetic’s Icebox had become a useful place to capture almost everything: design delivery, documentation, support, engineering coordination, and older requests. But capturing work and being ready to plan it are different things.

I developed a backlog-readiness approach that connected a one-time cleanup with an ongoing sprint model. I also created the Magnetic Backlog Review Codex skill to help designers apply the same review logic without handing decision-making over to automation.

My contribution

I led

The operational approach, workflow guidance, facilitation materials, and calibration of the backlog-review process.

I partnered

With design leadership on planning rules and exceptions, and with designers and Epic owners on scope, ownership, and approval.

I worked hands-on

On the backlog model, Airtable guidance, review paths, and Codex skill. Designers retained responsibility for validating recommendations and applying approved changes.

The challenge

Make planning a decision, not a cleanup session

A broad item might be a single task, a larger outcome, a duplicate, or work waiting on engineering. Without a consistent way to tell them apart, even simple planning conversations needed interpretation.

The design decision was to separate readiness from commitment. Cleanup would clarify the work; sprint planning would decide what to take on.

The approach

Separate the reset from the ongoing rhythm

The one-time review checks whether each task is relevant, clearly scoped, and correctly placed. Sprint assignments, estimates, and reserved capacity come later, when the team makes planning decisions.

01 · Clarify

Describe a specific action and its scope.

02 · Place

Connect to a suitable Epic, keep standalone, or request triage.

03 · Commit

Select and estimate work during sprint planning.

Use containers only when they help

Epics represent outcomes with multiple tasks or follow-up—not broad permanent buckets. A clear standalone task can remain standalone. Change Areas describe the part of Magnetic affected without forcing every task into an unnecessary Epic.

Keep handoff and follow-up distinct

Completed design work stays Done. A separate follow-up task captures a known design outcome after engineering handoff, preserving the distinction between delivered design scope and remaining work.

Epic review view separating the purpose of work from the areas of Magnetic it affects.
Epic review view separating the purpose of work from the areas of Magnetic it affects.
Designer task view grouping specific actions under outcomes and carrying the relevant change areas into daily work.
Designer task view grouping specific actions under outcomes and carrying the relevant change areas into daily work.

The Codex skill

A consistent first pass, with human control

Magnetic Backlog Review v0.2.8 accepts a pasted task or filtered CSV and recommends a cleanup path, clearer naming, relationships, and manual Airtable actions. It identifies questions that need judgment.

01 · Review evidence

The skill reads the supplied task and references.

02 · Recommend

It proposes a path and explains open questions.

03 · Decide

The designer validates; the appropriate owner approves.

04 · Apply

The designer makes approved updates in Airtable.

I kept a manual review path available. The skill supports the operating model; using Codex is not a prerequisite for participating.

Magnetic Backlog Review skill development and designer launch instructions, including the manual validation and update steps.
Magnetic Backlog Review skill development and designer launch instructions, including the manual validation and update steps.

Pilot learning

Keep the planning benefit; reduce the burden

The 1CD retrospective supported more intentional planning and better individual visibility. It also surfaced confusing work relationships, too many Airtable views, and excessive administrative effort.

That feedback informed the direction toward clearer tasks and lighter upkeep. It validates the need and parts of the planning approach—not a measured efficiency gain or full rollout of the final backlog model.

What took shape

The work produced a documented cleanup model, five review paths, handoff guidance, human approval rules, and a reusable Codex skill. The intended result is a backlog the team can understand and plan from more consistently; completion and adoption of the full model remain separate milestones.

How I would measure progress

Proposed measures for the ongoing backlog work. Establish a baseline and agree targets with the team before reporting improvement.

%

Backlog readiness

Reviewed active tasks meeting agreed scope, ownership, and placement criteria ÷ reviewed active tasks. Leadership sees how much work is ready for planning.

min

Review effort

Median designer review time per task, measured separately for manual and Codex-assisted review, alongside correction rate. Shows whether the skill saves useful effort.

%

Sprint carryover

Committed tasks carried into the next sprint ÷ tasks committed at planning; track scope changes separately. Shows planning and dependency friction.

%

Recommendation acceptance

Skill recommendations accepted without substantive correction ÷ reviewed recommendations. Shows reliability and where human calibration is needed.

What I carry forward

Design the process for the people using it

A useful operating model makes the next decision easier. The lesson from the pilot was to preserve visibility while removing unnecessary upkeep—and to make automation a source of suggestions, not silent changes to the team’s work.

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