Digital Strategy

Based on deep customer insights, audience motivators, emotions and well-designed interactions we develop experiences customers love.
Boston Digital Agency

Digital Strategy

Consensus’ Strategy team is structured to design, build, and manage end-to-end experiences based on a unique, quantitatively “scored” set of recommendations. In addition, we continuously review for emotional triggers and product benefits, so every experience we create is focused on a set of “Reasons to Believe” – convey the mission!

Assessment and Gap Analysis
Consensus Interactive’s team will review all current research documents and assets as they pertain to the strategic direction of the new experience including existing user surveys, interviews and Google Analytics in order to incorporate them into our overall assessment.

Market Research
Onsite and/or teleconference strategy sessions to understand the statement of business value for the company (short term, medium term, long term). This may include areas such as business strategy, audience insights, brand architecture and sales process.

Stakeholder Interviews
Survey internal and external stakeholders on current and proposed interactive initiatives via onsite and/or teleconference strategy sessions to understand business strategy, audience insights, brand architecture and sales process.

User Journeys
A journey map is a visualization of the experience that a user goes through in order to accomplish a goal. In its most basic form, journey mapping starts by compiling a series of user actions into a timeline and fleshing out a user’s thoughts and emotions in order to create a narrative.

Audience Matrix
An audience matrix represents comparative segments of users and defines their behavioral patterns and motivators in purchasing decisions, use of technology or products, customer service preferences, and lifestyle choices.

Features Roadmap
Our features matrix allows our team to systematically identify, analyze, and rate the performance of relationships between sets of values and information. The features matrix is useful for looking at large masses of decision factors and assessing each factor’s relative significance.