HOW WE DO IT
Our approach is systematic and industry agnostic. Based on years of experience in the domain, data science, experience design and design thinking principles, we can create a data model for any vision, goal or experience.
1: We identify all of the audiences
This includes everyone using, buying and delivering the experience or impacting your business goal.
2: Extensive R&D
We utilize structured and unstructured, qualitative and quantitative data and validated research studies to understand the domain and needs across all necessary audiences including: customers, users, stakeholders, and employees.
Using our proprietary methodology, we decompose the whole ecosystem.
3: Rich data modeling and algorithm engineering
Using our unique iterative data modeling process, we understand a variety of data objects and the relationships between them to create a Model. This gives us comprehensive depth and breadth across the whole ecosystem.
Using the data model, we create an algorithm and evaluation to draw out the indicators and map 100's of points to the attributes so that we understand exactly what current state is, and what needs to be done to achieve the goal or vision.
DRIVERS: These are characteristics of the environment.
FACTORS: These are the success enablers for the vision to thrive.
ATTRIBUTES AND MATURITY: Using the data streams we determine the scale of the attributes needed to achieve an optimal state.
We will determine the best way to assess the Model given your environment. It could be a mixture of evaluations, observations or audits. Don't worry, we are there with you every step of the way to bring you best practices and transfer capabilities.
When we evaluate we optimize across the needs of all audiences - the participants, the business, and the delivery teams who will have to act upon the data.
Faster and simpler for Participants.
Models are built using audience perception as a part of the process, but evaluation techniques measure by the participants association to fact. This means participants do not have to spend time thinking about what a "3" means, or whether they agree or disagree - reducing their cognitive load, and making the evaluation experience simpler. Evaluations can be taken from anywhere, on any device, or done virtually.
Easy to track and trend for Management.
The easy to digest overall dashboard allows drill downs across the factors and drivers. Data can be viewed with a focus on any variable be that location, function, or participant variable. There is also no misinterpretation as the same core data is used to derive the overarching metric that leadership see, directly linked to the critical success factors that will actually move the needle.
Faster to action for the delivery teams.
Because we know the maturity levels of the attributes, we can show exactly where you are and what needs to be done to advance. You can then discuss as a team to determine the true efforts required, making smarter decisions with this foresight.
The Model can serve as a cross functional, shared goal, while still enabling the functional accountabilities needed to effectively get work done.
Evaluate concepts and ideas to simulate their indicative impacts.
Using the Index we can evaluate a concept or idea against what they could achieve so that you can use this insight to select solutions that have the best chance of success.
say goodbye to trends that do not tell you what to do next.
Traditional Way's to Measure
- ‘Agree or Disagree’ or likert scale surveys creating averages regarding various areas of the survey subject to identify patterns of importance. Good for highlighting trends and surface issues to look into.
- Typically organizations have to do more work to understand the root cause.
- Cannot simulate ideas and see the impact from the survey results.
- Require large numbers to make sure the trends are accurate.
- Uses evaluations based on the model of success to extract and identify behaviors and experiences for an in-built deeper analysis.
- Locates indicators that highlight the root cause of your scores using 100’s of mappings.
- Can simulate the impact of ideas after a baseline evaluation.
- Requires lower participation as it is specific and observable patterns.
DATA DRIVEN DESIGN ACROSS THE WHOLE LIFECYCLE
Following through, the Model can be used across the full lifecycle to design for the desired goal, vision, or experience. Using our Flow Optimization technique, we can look at a customer or user journey to determine at which points the success factors are most impacted. This enables the design to be optimized at the right moments for the experience.
WHY Have an Model?
They are Based on Your "DNA", Vision and Goals
They are systematic and scalable, based on your environment, audience, and business.
They Provide Input to Ongoing Analytics and Measures
They enable you to understand what to measure across the full lifecycle so that you can determine the best "how".
The Process Uncovers the Unstated Needs
We help you find the "unknown unknowns", driving better adoption and value.
They Provide Something for Everyone
Trending data for management, that means something to the people that have to work on delivering the vision, as well as a simplified evaluation experience for the participants.
They Help Proactively Guide your Organizational Roadmap
You can quantify your baseline and identify opportunities that will actually move the needle.
They Provide Value that Keeps on Giving
They can be used continuously and iteratively to focus and prioritize your roadmap.