Product Innovation Roadmap

© Expert Decisions Inc.– All rights reserved. 1
1

• Expert Decisions Inc. was incorporated in Alberta 2003
• University of Calgary spin-off company
• ReleasePlanner™ is a cutting edge platform for optimized
product management
• Based on 2010 US patented technology
• Has been proven successful with 500+ customer and trial
projects
Who we are?

The imbalance in feature usage
Almost two thirds of all features are (almost)
never used. This implies
• Wasted development effort
• Increased maintenance effort
• Customers overwhelmed from (almost)
never) user features.
45% Never 19% Rarely 16% Sometimes 13% Often 7% Always
Should this be changed?  YES
How this can be changed:  Apply EDI
technology suite!
Standish Group Study Reported at XP2002 by Jim Johnson, Chairman

Our technology suite
Customer Needs
Analysis
Customer Needs
Analysis
Collective
Prioritization
Collective
Prioritization
Optimized Product
Planning
Optimized Product
Planning
Optimized Product
Development
Optimized Product
Development
Product
Evaluation
Product
Evaluation
Customer Needs
Analysis
Collective
Prioritization
Optimized Product
Planning
Optimized Product
Development
Product
Evaluation

Our tool suite

Developing the right product Systematic process based on
- Collective wisdom
- Objective data
- Power of optimization
… in the right way

How does it work? - Dashboard
For the current plan:
Which features are in
which releases?
Which project set-up steps
still need to be done?
For the current plan:
What is the projected
excitement of the
stakeholders with this
plan?
Ranking of most
controversial features
Effort – value
profile of all
features
in consideration

Customer needs
analysis & collective
prioritization

Feature priority and disagreement analysis
- What feature are most attractive?
- What features are least attractive?
- What features are most controversial?
- What feature are least controversial?

Most controversial features – Where to focus your
discussion
For a given feature:
Spider graph with priorities assigned by
stakeholders

Optimized product
planning

Where the data comes from?
Import and export of data from
synchronization to issue
management system JIRA or
equivalent

How does the optimized plan looks like?
For the two upcoming releases,
all the features involved per
release as well as their assumed
effort consumption are shown
(visible from mouse-over)

How much will stakeholders like your plan?
Profile of projected excitement of
stakeholders with the given plan

Product evaluation

How much do stakeholders like the proposed features?
Prioritization of features per
criterion.
Display of features with simular
priority

Subscription-based services for:
Unique Selling Proposition of ReleasePlanner™ 2.0
in the context of Analytical Product Management:
WHY EDI? - WHAT DO WE OFFER?
• Offering optimized and diversified planning
alternatives
• Consideration of quality criteria as part of
the planning
• Integration of operational and strategic
planning
• Comprehensive support of re-planning
(both operational and strategic)
• Risk analysis capabilities
• Ability to accommodate many types of
complex logical dependencies

Intelligent Surveying:
• Stakeholder (including customers, users, sales representatives, managers) based
prioritization of (future) features, ideas, projects, services, cost drivers, processes,
architectures and more.
• Prioritization of defects.
• Feature elicitation and discussion.
• Retrospective evaluation:
– How frequently have existing features been used?
– Have the features increase customers’ satisfaction?
• All types of analytics such as: criticality, variance when comparing between groups
of features, groups of stakeholders.
• Consensus building: Which features have high versus low consensus?
Effort Estimation:
• Stakeholder/Expert-based estimation (based on 3-point estimates).
Monitoring:
• Monitoring of projects (e.g., status of feature implementation).
Use case scenarios VeryBestChoiceLight - 1/2

“Principle 1 of change for gaining competitive advantage
in the era of smart:
Decisions will be based not on “gut instinct,”
but on predictive analytics. “
“Principle 1 of change for gaining competitive advantage
in the era of smart:
Decisions will be based not on “gut instinct,”
but on predictive analytics. “
Use case scenarios VeryBestChoiceLight - 2/2
Ginni Rometty, Chairman President and CEO
IBM, 2013

• Resource optimized product and service road-mapping
• Release planning for management of technical debt
• Release planning in consideration of complex feature dependencies
• Release planning in consideration of quality criteria
• Issue management and optimization with compatibility to JIRA
• Optimized user excitement analysis
• Release planning for multiple products
• Optimized features for sprints in Scrum
• Better sprints and releases from interactive optimization
• Cyclic re-planning to accommodate change in features and other
project parameters
• Pro-active risk analysis for making release decisions
• Interactive optimization
Use case scenario ReleasePlannerTM

• Developing the right product = Essence of business success!
• Decisions need to be based on objective data and transparent rules
• Pro-active rather than reactive mode of operation!
• Many features implemented get almost never used
• Features expected from the user are not offered
• Treating feature dependencies can be tedious and time consuming
• Optimized response to changed market or resource conditions
• Convince others by justifying your plan
• Plans generated to not make optimal usage of resources available
Why this is important?

Guenther Ruhe
403-608-1180
ruhe@expertdecisions.com
Questions
Contact:

Product Innovation Roadmap

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Product Innovation Roadmap

Similar to Product Innovation Roadmap (20)

Recently uploaded

Recently uploaded (20)

Product Innovation Roadmap