Most services pages pretend there is a single, linear process; real projects move
more like a branching quest line, revisiting earlier choices as data and player
sentiment roll in. This overview shows how I structure that chaos into clear stages
so your team always knows what we are doing, why it matters, and how it connects
back to the way your game feels moment to moment.
How I help teams shape their game economies
Every game economy tells a story about what the world values, how time turns into
power, and where money fits into that arc. On this page I break down the specific
ways I work with teams to shape that story; from foundational system design for new
projects to focused audits and live tuning support for games already in players’
hands.
New titles
Support from concept to launch, defining currencies, reward loops, and
progression so your first players meet an economy that already fits the
fantasy you have in mind.
Economy audits
Targeted audits for games in development or live, diagnosing inflation,
hoarding, and pacing issues before they harden into long term player
frustration.
Monetization
Store, pass, and bundle structure reviews that keep value communication
clear, prices coherent, and cosmetic or power roles easy to explain to your
community.
Live tuning
Ongoing support for live ops teams, building rituals for tuning events,
monitoring cohorts, and updating documentation as your world and audience
evolve.
Core game economy services
Each service sits on the same foundation; map the current economy, define how you want it to
feel, then test changes carefully while listening to players. The difference lies in where
we enter your project and how deeply we embed in your existing rituals.
Foundational economy design for new games
For teams at concept or early prototype, I help define the economic backbone
before content and features multiply. Together we choose currency roles, map
sources and sinks, and sketch progression curves that fit your fantasy and
production realities. Using my internal Three Layer Loop method, we connect
moment to moment rewards, mid term goals, and long term collection so your first
players encounter an economy that feels coherent instead of improvised.
When a project is mid development or already live, I run a structured audit
using my Economy Health Scan framework. I review your data, design docs, and in
game captures to identify inflation, hoarding, confusing pricing, or progression
spikes. The output is a clear findings report, economy diagrams, and a shortlist
of experiments sized to your tools and timelines, each framed as a hypothesis
rather than a sweeping rewrite.
Shops, passes, and bundles are where economy theory meets player wallets, so I
treat monetization design as its own focused track. Using my Value Story Canvas,
I work with your team to align pricing ladders, offer timing, and cosmetic or
power roles with your audience and platform norms. The aim is to make every
purchase path understandable at a glance, reducing surprise and helping players
feel in control of how they support the game.
How a typical collaboration works from first call to live tuning
Behind every engagement is a simple loop; understand what the economy is doing today, decide
how you want it to feel, and test changes in a way your team and players can live with.
Intake, discovery, and shared understanding
We begin with a structured intake where you share game context, current concerns, and
any available artefacts; spreadsheets, dashboards, design docs, and store captures. I
look for signals of inflation, bottlenecks, and sentiment hotspots, then run a discovery
session with key stakeholders across design, analytics, product, and community. By the
end of this step we have a shared picture of the current economy and a shortlist of
questions that matter most to your team and players.
Mapping systems with the Three Layer Loop
Using that material, I construct economy maps that trace how currencies, items, and
progression interact across core loops, side systems, and events. I apply my Three Layer
Loop method to separate moment to moment rewards, mid term goals, and long term
collection arcs. This reveals where your economy supports the fantasy and where it
fights it, highlighting sensitive levers we can adjust without destabilising the whole
structure.
Defining focused, testable experiments
Next we turn insights into action by designing a small set of experiments sized to your
pipelines. Each change, whether to reward cadence, store layout, or currency roles, is
framed as a hypothesis with clear metrics and qualitative signals to watch. We
prioritise experiments that respect your roadmap, tool limits, and communication plans,
avoiding big bang overhauls in favour of controlled, reversible steps.
Observing results and refining parameters
Once experiments are live, we monitor cohort behaviour, sentiment, and operational
impact over an agreed window. Regular check ins turn raw numbers into stories about how
players are experiencing the new economy shape. Together we decide which adjustments to
keep, refine, or roll back, and we capture the reasoning so future team members can
understand how we arrived at each decision.
Documenting a playbook your team can own
Finally, I consolidate diagrams, parameter lists, principles, and experiment outcomes
into a set of living artefacts; economy maps, tuning guidelines, and decision logs.
These documents are built for your team to own and update, turning the collaboration
into an ongoing practice rather than a one off fix. When the next feature, season, or
platform arrives, you already have a tested way to fold it into the existing economy
with less risk and clearer conversations.
Choosing how to collaborate
Features
Arsiodseordui
Generic advisors
One off slide decks
High level benchmarks
Hands on economy mapping
Experiment ready recommendations
Feature centric feedback
Cross team workshops
Living documentation handover
Why bring in an external game economy partner
The myth says only insiders can tune your economy; the reality is that an external
specialist can spot repeating patterns, ask uncomfortable questions, and leave you with
tools that outlive any single update.
Handing every economy decision to an already stretched team often leads to short term
patches and half remembered precedents from other games. Working with a dedicated
economy partner adds a historian in the room; someone who has seen similar systems
succeed, fail, and quietly drift over time. I focus on building clear models, surfacing
trade offs, and setting up experiments so your designers, analysts, and producers can
move with confidence instead of constant rework.
External specialist perspective
An in house team juggles features, deadlines, and platform requirements; I
bring focused attention on currencies, pacing, and offers, shaped by
patterns seen across multiple live games and genres.
Structured economy framework
Instead of ad hoc tweaks, you get a structured framework for mapping
sources, sinks, and progression, turning scattered spreadsheets into a
coherent economy model your whole team can discuss.
Translation across disciplines
I translate between design, analytics, and production, reframing abstract
goals like fairness or generosity into specific parameters, dashboards, and
rituals your team can actually maintain.
Faster path to experiments
With a clear methodology and ready templates, I help you reach actionable
experiments faster, reducing the time spent debating where to start and
letting your team focus on implementation.
Guardrail for player trust
Because I am not tied to a single feature or department, I can flag when
short term ideas risk eroding long term trust, keeping fairness and clarity
visible in every major economy decision.
Share your game’s economy story
Game snapshot
Share a brief overview of your game, current build status, and the parts of the
economy that feel most fragile. Screenshots of stores, passes, and progression
tracks help ground the conversation quickly so we can skip generic advice and focus
on your specific reality.
Desired shift
Outline what you hope might change, whether it is calmer reviews, clearer
progression, or fewer internal debates. Setting expectations early lets us decide
whether you need a focused audit, longer support, or simply a second opinion on a
tricky feature.
Signals
If you already track metrics or sentiment, mention which curves worry you and where
community feedback feels loudest. I treat these as clues, not verdicts, weaving them
into a wider picture of how your economy behaves for different cohorts.
Collaboration
Tell me how your team prefers to work; deep workshops, async notes, or periodic
check ins. The methodology flexes around your culture, as long as we keep one
principle steady; changes to the economy should be deliberate, documented, and
explainable to players.
Expectations
Results may vary, and past performance does not guarantee future results. Every
recommendation is framed as a testable hypothesis, not a promise, so your team can
see exactly what is being tried and how it will be evaluated over time.
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Most services pages pretend there is a single, linear process; real projects move more like a branching quest line, revisiting earlier choices as data and player sentiment roll in. This overview shows how I structure that chaos into clear stages so your team always knows what we are doing, why it matters, and how it connects back to the way your game feels moment to moment.