N. Kyriakopoulos
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5 records found
1
An AI-Enabled Sensemaking Framework for Go-to-Market decision makers
Reducing information overload and improving insight quality for Product Marketing Managers at Webfleet
telematics, PMMs must turn fragmented inputs from market research, customer
feedback, sales signals, competitor intelligence, and regional sources into coher‐
ent Go-to-Market (GtM) insight. The difficulty is not a lack of information but an
excess of it, and current practice relies heavily on individual judgment that is hard
to scale, audit, or improve.
This thesis investigates how a structured, AI-enabled sensemaking framework can
reduce information overload and improve the quality of GtM insight synthesis for
PMMs at Webfleet. Following a qualitative, design-led approach grounded in de‐
sign science research, the project ran across three phases: a contextual inquiry us‐
ing semi-structured interviews with PMMs and secondary stakeholders, the design
of a framework and AI prompt guide, and a perception-based assessment and trial
use of the guide.
The central design outcome is PRISM(E), a six-element framework: Prioritise,
Reduce, Interpret, Synthesise, Mobilise, and an Equip layer of organisational en‐
ablement that runs alongside the five sequential stages. PRISM(E) is opera‐
tionalised inside Microsoft 365 Copilot within Webfleet's own tenant — a choice
grounded in data governance and infrastructure fit rather than raw capability.
Interview findings refined the framework from its conceptual form into a final ver‐
sion, and the work is delivered through three artefacts: an AI Prompt Guide, a
strategic three-horizon roadmap, and a tactical roadmap for adoption.
The contribution is a design-research-grounded operationalisation of sense‐
making and prompt-engineering theory in the specific context of B2B product
marketing — an area that existing literature leaves largely unaddressed. ...
telematics, PMMs must turn fragmented inputs from market research, customer
feedback, sales signals, competitor intelligence, and regional sources into coher‐
ent Go-to-Market (GtM) insight. The difficulty is not a lack of information but an
excess of it, and current practice relies heavily on individual judgment that is hard
to scale, audit, or improve.
This thesis investigates how a structured, AI-enabled sensemaking framework can
reduce information overload and improve the quality of GtM insight synthesis for
PMMs at Webfleet. Following a qualitative, design-led approach grounded in de‐
sign science research, the project ran across three phases: a contextual inquiry us‐
ing semi-structured interviews with PMMs and secondary stakeholders, the design
of a framework and AI prompt guide, and a perception-based assessment and trial
use of the guide.
The central design outcome is PRISM(E), a six-element framework: Prioritise,
Reduce, Interpret, Synthesise, Mobilise, and an Equip layer of organisational en‐
ablement that runs alongside the five sequential stages. PRISM(E) is opera‐
tionalised inside Microsoft 365 Copilot within Webfleet's own tenant — a choice
grounded in data governance and infrastructure fit rather than raw capability.
Interview findings refined the framework from its conceptual form into a final ver‐
sion, and the work is delivered through three artefacts: an AI Prompt Guide, a
strategic three-horizon roadmap, and a tactical roadmap for adoption.
The contribution is a design-research-grounded operationalisation of sense‐
making and prompt-engineering theory in the specific context of B2B product
marketing — an area that existing literature leaves largely unaddressed.
Strategic positioning of MOOS in the retail technology ecosystem
An ecosystem-based diagnosis of actionable shelf insight and its role between shelf reality and store action
From First Niche to Take-off
Designing a Launch Strategy for The Adcrew
This thesis designs a launch strategy for The Adcrew's first year, based on a grounded theory analysis of 15 expert interviews with brand managers, marketing professionals and brand experience consultants. The analysis produces five interrelated super families that together describe the conditions for a successful launch: building the business, campaign and brand fit, the student experience, authentic word-of-mouth, and proving it works.
Three strategic results stand out. First, the positioning shifts from selling laptop advertising to creating micro-brand ambassadors, which reframes the channel more around peer advocacy rather than awareness and impressions. Second, the year-one roadmap is sequenced to start with the most accessible brand segments instead of the segment that initially looked the strongest fit on paper. Third, the measurement framework is built in three layers (reach, self-reported advocacy and indirect market signals) to address the difficulty of measuring word-of-mouth to a specific campaign. A final round of expert validation refines the strategy at the level of execution.
The research adds to the launch strategy, customer development and brand experience literature by showing how awareness and trial can lead to a peer-to-peer interaction, how the framing of a rewarded product shapes the quality of the advocacy that follows, and how a relational moat can act as first-mover advantage in resource-limited startups. The result is a credible and scalable strategy for The Adcrew's first year of operations. ...
This thesis designs a launch strategy for The Adcrew's first year, based on a grounded theory analysis of 15 expert interviews with brand managers, marketing professionals and brand experience consultants. The analysis produces five interrelated super families that together describe the conditions for a successful launch: building the business, campaign and brand fit, the student experience, authentic word-of-mouth, and proving it works.
Three strategic results stand out. First, the positioning shifts from selling laptop advertising to creating micro-brand ambassadors, which reframes the channel more around peer advocacy rather than awareness and impressions. Second, the year-one roadmap is sequenced to start with the most accessible brand segments instead of the segment that initially looked the strongest fit on paper. Third, the measurement framework is built in three layers (reach, self-reported advocacy and indirect market signals) to address the difficulty of measuring word-of-mouth to a specific campaign. A final round of expert validation refines the strategy at the level of execution.
The research adds to the launch strategy, customer development and brand experience literature by showing how awareness and trial can lead to a peer-to-peer interaction, how the framing of a rewarded product shapes the quality of the advocacy that follows, and how a relational moat can act as first-mover advantage in resource-limited startups. The result is a credible and scalable strategy for The Adcrew's first year of operations.
Building a Change-Ready Organisation
A strategic approach to bootlegging as an informal mechanism in post-merger change implementation
...
Breaking the mould
The power of chaos packaging strategy in shaping brand positioning and product perception