Digital Innovation
Digital Innovation Sprint
Apply problem framing, AI, automation, and prototyping to one focused work challenge. Generate options, create a prototype people can try, test the riskiest assumptions, and improve the design using evidence. Leave with a practical implementation experiment.
Build practical capability
Move from challenge to tested concept with momentum.
The sprint creates a focused space to understand a problem, generate options, build a tangible concept, and learn quickly from feedback.
Turn a real organizational challenge into a focused digital solution concept through a fast, collaborative process. Participants move from problem definition to prototype, feedback, and a practical plan for implementation.
What you will learn
Course learning objectives
By the end of this course, you will be able to:
Frame a challenge worth solving
Define users, their needs, constraints, desired outcomes, and evidence of the problem.
Compare possible approaches
Generate options and select a concept using explicit criteria.
Build a testable prototype
Choose a workflow, mock-up, prompt system, automation, or service concept that can test the idea.
Collect useful feedback
Observe friction, questions, and evidence when peers or users try the prototype.
Improve the riskiest assumption
Revise the concept based on feedback and test the uncertainty that matters most.
Design an implementation experiment
Define an owner, first users, measures, controls, dependencies, and a practical 30-day test.
What you will do
Apply the methods to practical work
Select a bounded challenge, define users and constraints, compare concepts, and build an initial workflow, mock-up, prompt system, automation, or service concept. Test with peers or users, revise the prototype, and design a 30-day experiment with owners and measures.
Techniques you will practice
Jobs-to-be-done and problem framing: Describe what a user needs to accomplish and turn assumptions into focused questions.
How might we? questions: Open up possible solutions without committing prematurely to one tool.
Criteria-based concept selection: Compare alternatives against the problem, constraints, and intended outcome.
Rapid prototyping and peer testing: Create the smallest useful representation, observe its use, and capture evidence.
Assumption testing and experiment design: Choose a risky assumption and define measures, controls, owners, and a next test.
How the course is structured
Demonstration, guided practice, testing, and improvement
The course moves through the stages below. Instructor demonstrations and guided activities lead into participant application, critique, and a practical next-use plan.
- Launch and frame
Choose a challenge and identify users, desired outcomes, constraints, and evidence.
- Generate and select
Explore alternatives and select a concept using explicit criteria.
- Prototype round one
Create a workflow, mock-up, prompt system, automation, or service concept.
- Test and capture evidence
Ask peers or users to try it; record friction, questions, and observations.
- Revise and retest
Improve the prototype and test the riskiest assumption.
- Design the next experiment
Define ownership, measures, controls, dependencies, and a 30-day test; share the demo and next action.
Choose an approach that fits your experience
A process sketch, mock-up, or visual workflow can test a valuable idea without code. Participants comfortable with configuration or scripting can use those approaches where they help the prototype. The quality of the problem framing and test evidence matters across every implementation route.
Use a sample or anonymized work situation. Keep confidential information out of shared tools, verify AI-generated claims, and retain human judgment over consequential decisions.
2027 schedule
Plan the experience into your learning year.
Choose a scheduled offering below. Course registration opens December 10, 2026. You can reserve your interest now and request an opening reminder; no payment is collected by the reservation form. A completed paid registration is required to secure a seat.
Live virtual · 8-hour course
9:30 AM–5:30 PM ET
Eastern Time (America/New_York)
Course investment: $625
Frame a work challenge, compare ideas, prototype, test with peers, revise, and plan an implementation experiment.
You will leave with: A problem brief, tested prototype, feedback notes, and a 30-day experiment plan.
Reserve this offeringLive virtual · 8-hour course
9:30 AM–5:30 PM ET
Eastern Time (America/New_York)
Course investment: $625
Frame a work challenge, compare ideas, prototype, test with peers, revise, and plan an implementation experiment.
You will leave with: A problem brief, tested prototype, feedback notes, and a 30-day experiment plan.
Reserve this offeringLive virtual · 8-hour course
9:30 AM–5:30 PM ET
Eastern Time (America/New_York)
Course investment: $625
Frame a work challenge, compare ideas, prototype, test with peers, revise, and plan an implementation experiment.
You will leave with: A problem brief, tested prototype, feedback notes, and a 30-day experiment plan.
Reserve this offeringThe listed dates, times, and prices match the governed 2027 calendar. This reservation expresses interest; it is not a paid enrollment or a guarantee that an offering will run.
Find your pathway
Choose the next step that fits your goals.
Explore the full 2027 calendar and see how Digital Innovation Sprint connects to your Digital Innovation pathway.
Explore the 2027 calendar