DESIGN DELIVERY
Planning


Best-Laid Delivery Plans
Long before I led a design team, I worked as an IT management consultant. Year after year, I heard the same complaint from Fortune 500 CIOs: project estimates were rarely accurate, and missed deadlines drove costly overruns. Once I owned delivery timelines myself, I understood why. Discovery answered some questions, but design was where complexity multiplied—through evolving workflows, emerging edge cases, and the iteration required to make products usable. I needed a better way to scope the work, plan resources, and offer a more credible timeline before every unknown had been resolved.
Best-Laid Delivery Plans
Long before I led a design team, I worked as an IT management consultant. Year after year, I heard the same complaint from Fortune 500 CIOs: project estimates were rarely accurate, and missed deadlines drove costly overruns. Once I owned delivery timelines myself, I understood why. Discovery answered some questions, but design was where complexity multiplied—through evolving workflows, emerging edge cases, and the iteration required to make products usable. I needed a better way to scope the work, plan resources, and offer a more credible timeline before every unknown had been resolved.
Best-Laid Delivery Plans
Long before I led a design team, I worked as an IT management consultant. Year after year, I heard the same complaint from Fortune 500 CIOs: project estimates were rarely accurate, and missed deadlines drove costly overruns. Once I owned delivery timelines myself, I understood why. Discovery answered some questions, but design was where complexity multiplied—through evolving workflows, emerging edge cases, and the iteration required to make products usable. I needed a better way to scope the work, plan resources, and offer a more credible timeline before every unknown had been resolved.
Don't Reinvent the Wheel
Rather than inventing a planning model from scratch, I borrowed from agile delivery. By studying sprint-planning practices and working with project managers, I adapted concepts like work breakdown, dependency mapping, and sequencing into a design-focused framework for estimating effort, improving throughput, and planning more predictable delivery.
Don't Reinvent the Wheel
Rather than inventing a planning model from scratch, I borrowed from agile delivery. By studying sprint-planning practices and working with project managers, I adapted concepts like work breakdown, dependency mapping, and sequencing into a design-focused framework for estimating effort, improving throughput, and planning more predictable delivery.
ACTIVITY BREAKDOWN
BEST PRACTICE RESEARCH
60%
IDEATION SESSIONS
40%

Ideation Sessions with Project Managers
I met with project managers to brainstorm how to apply sprint planning practices to design work, defining units of work, sequencing delivery, and allocating tasks across specialties to improve throughput and reduce ambiguity.

Researched Sprint Planning Practices
I studied Agile sprint planning methods through targeted research and hands-on experience, focusing on story pointing, dependency mapping, and planning workflows. This gave me the foundation to introduce more structured, predictable planning across the team.

Ideation Sessions with Project Managers
I met with project managers to brainstorm how to apply sprint planning practices to design work, defining units of work, sequencing delivery, and allocating tasks across specialties to improve throughput and reduce ambiguity.

Researched Sprint Planning Practices
I studied Agile sprint planning methods through targeted research and hands-on experience, focusing on story pointing, dependency mapping, and planning workflows. This gave me the foundation to introduce more structured, predictable planning across the team.

Ideation Sessions with Project Managers
I met with project managers to brainstorm how to apply sprint planning practices to design work, defining units of work, sequencing delivery, and allocating tasks across specialties to improve throughput and reduce ambiguity.

Researched Sprint Planning Practices
I studied Agile sprint planning methods through targeted research and hands-on experience, focusing on story pointing, dependency mapping, and planning workflows. This gave me the foundation to introduce more structured, predictable planning across the team.

Ideation Sessions with Project Managers
I met with project managers to brainstorm how to apply sprint planning practices to design work, defining units of work, sequencing delivery, and allocating tasks across specialties to improve throughput and reduce ambiguity.

Researched Sprint Planning Practices
I studied Agile sprint planning methods through targeted research and hands-on experience, focusing on story pointing, dependency mapping, and planning workflows. This gave me the foundation to introduce more structured, predictable planning across the team.
Problems to Solve
Problems to Solve
This work surfaced four issues the new delivery planning process had to solve
This work surfaced four issues the new delivery planning process had to solve
This work surfaced four issues the new delivery planning
process had to solve
Too Big to Succeed
Design work was not broken into units small and clear enough to estimate, assign, and complete within a two-week sprint.
Too Big to Succeed
Design work was not broken into units small and clear enough to estimate, assign, and complete within a two-week sprint.
Going the Wrong Way
Dependencies between features, workflows, and reusable components made it difficult to sequence work efficiently and avoid bottlenecks.
Going the Wrong Way
Dependencies between features, workflows, and reusable components made it difficult to sequence work efficiently and avoid bottlenecks.
One Lane at a Time
Without a better way to divide work across UX, visual, and motion design, the team struggled to work in parallel and maintain momentum.
One Lane at a Time
Without a better way to divide work across UX, visual, and motion design, the team struggled to work in parallel and maintain momentum.
Growth Without Investment
The lack of a consistent delivery cadence made it difficult to predict when design work would be ready for development.
Growth Without Investment
The lack of a consistent delivery cadence made it difficult to predict when design work would be ready for development.
The Solution
Designing digital products well requires more than creativity—it requires structure, sequencing, and a delivery rhythm the broader team can trust. To make design work easier to scope and plan, I created a framework for breaking products into manageable parts, sizing effort by complexity, and organizing work into two-week sprints. This gave the team a more predictable path from early concepts to developer-ready design.
PLANNING FRAMEWORK
•
ESTIMATION GUIDELINES
The Solution
Designing digital products well requires more than creativity—it requires structure, sequencing, and a delivery rhythm the broader team can trust. To make design work easier to scope and plan, I created a framework for breaking products into manageable parts, sizing effort by complexity, and organizing work into two-week sprints. This gave the team a more predictable path from early concepts to developer-ready design.
PLANNING FRAMEWORK
ESTIMATION GUIDELINES
From Scope to Sprint
I created a 5-step sprint planning framework that turns messy product scope into a predictable design delivery schedule — breaking work into manageable parts, sizing complexity, sequencing priorities, and keeping strategy and execution moving in parallel.
O1
Define
02
Size
03
Plan
04
Sequence
05
Stagger
01
Define the Product Building Blocks
Break digital products into their essential building blocks: workflows, navigation, key pages, content blocks, and reusable components. This turns a vague product scope into a clear set of parts, making it easier to understand what needs to be designed, estimated, sequenced, and delivered.
OUTPUT
A clear inventory of design work
02
Size the Design Effort
Estimate design work by complexity, not screen count. A single page can require complex filtering, new patterns, or unresolved requirements. T-shirt sizing helps teams account for feature complexity, exploration, stakeholder review, and unknowns that may surface during early concept work.
OUTPUT
A rough estimate for each unit of work
03
Plan Each Sprint
T-shirt sizing helps teams determine how many work units can realistically fit into each two-week sprint. From there, they can fill each sprint slot with the right mix of design tasks, creating a predictable release rhythm for product and engineering.
OUTPUT
A clear inventory of design work
04
Sequence the Work
Start with simpler pages to establish the product’s look, feel, and reusable patterns. Then move into core features where the hardest decisions are about how the experience works. Save homepages and dashboards for last, once the components they summarize have already been designed.
OUTPUT
A smarter sequence of interdependent design sprints
05
Stagger the Design Tracks
Run experience design and visual design in overlapping tracks. Experience designers shape workflows, wireframes, and feature structure while visual designers refine sprint work into polished prototypes. This keeps the baton moving across sprints and prevents teams from waiting on handoff.
OUTPUT
Continuous momentum throughout the design sprint
01
Define the Product Building Blocks
Break digital products into their essential building blocks: workflows, navigation, key pages, content blocks, and reusable components. This turns a vague product scope into a clear set of parts, making it easier to understand what needs to be designed, estimated, sequenced, and delivered.
OUTPUT
A clear inventory of design work
02
Size the Design Effort
Estimate design work by complexity, not screen count. A single page can require complex filtering, new patterns, or unresolved requirements. T-shirt sizing helps teams account for feature complexity, exploration, stakeholder review, and unknowns that may surface during early concept work.
OUTPUT
A rough estimate for each unit of work
03
Plan Each Sprint
T-shirt sizing helps teams determine how many work units can realistically fit into each two-week sprint. From there, they can fill each sprint slot with the right mix of design tasks, creating a predictable release rhythm for product and engineering.
OUTPUT
A clear inventory of design work
04
Sequence the Work
Start with simpler pages to establish the product’s look, feel, and reusable patterns. Then move into core features where the hardest decisions are about how the experience works. Save homepages and dashboards for last, once the components they summarize have already been designed.
OUTPUT
A smarter sequence of interdependent design sprints
05
Stagger the Design Tracks
Run experience design and visual design in overlapping tracks. Experience designers shape workflows, wireframes, and feature structure while visual designers refine sprint work into polished prototypes. This keeps the baton moving across sprints and prevents teams from waiting on handoff.
OUTPUT
Continuous momentum throughout the design sprint
Lessons Learned
This work taught me that design delivery becomes more predictable when teams stop treating design as an abstract creative phase and start breaking it down into visible, estimable units of work. Screen counts alone were not enough to understand effort; the real complexity lived in workflows, dependencies, unresolved requirements, interaction patterns, and the amount of iteration needed to make the experience usable. By borrowing from agile planning and adapting those methods for design, I learned how to create a shared language for complexity that helped product, design, engineering, and project management plan with more confidence. It also reinforced that speed is not just about working faster—it is about sequencing smarter. Starting with foundational pages, delaying dashboards and summary views until the underlying components were defined, and staggering experience and visual design tracks helped the team maintain momentum without rushing decisions prematurely. The framework gave design a clearer delivery rhythm, reduced ambiguity for stakeholders, and made timelines feel less like guesses and more like informed plans. Most importantly, it showed that strong design leadership requires both creative judgment and operational discipline.

Lessons Learned
This work taught me that design delivery becomes more predictable when teams stop treating design as an abstract creative phase and start breaking it down into visible, estimable units of work. Screen counts alone were not enough to understand effort; the real complexity lived in workflows, dependencies, unresolved requirements, interaction patterns, and the amount of iteration needed to make the experience usable. By borrowing from agile planning and adapting those methods for design, I learned how to create a shared language for complexity that helped product, design, engineering, and project management plan with more confidence. It also reinforced that speed is not just about working faster—it is about sequencing smarter. Starting with foundational pages, delaying dashboards and summary views until the underlying components were defined, and staggering experience and visual design tracks helped the team maintain momentum without rushing decisions prematurely. The framework gave design a clearer delivery rhythm, reduced ambiguity for stakeholders, and made timelines feel less like guesses and more like informed plans. Most importantly, it showed that strong design leadership requires both creative judgment and operational discipline.

Lessons Learned
This work taught me that design delivery becomes more predictable when teams stop treating design as an abstract creative phase and start breaking it down into visible, estimable units of work. Screen counts alone were not enough to understand effort; the real complexity lived in workflows, dependencies, unresolved requirements, interaction patterns, and the amount of iteration needed to make the experience usable. By borrowing from agile planning and adapting those methods for design, I learned how to create a shared language for complexity that helped product, design, engineering, and project management plan with more confidence. It also reinforced that speed is not just about working faster—it is about sequencing smarter. Starting with foundational pages, delaying dashboards and summary views until the underlying components were defined, and staggering experience and visual design tracks helped the team maintain momentum without rushing decisions prematurely. The framework gave design a clearer delivery rhythm, reduced ambiguity for stakeholders, and made timelines feel less like guesses and more like informed plans. Most importantly, it showed that strong design leadership requires both creative judgment and operational discipline.
