Kristiyan Elev
Independent consultant Product analytics · Economy systems Varna, Bulgaria

Clear decisions from complex product data.

I help product teams diagnose retention, pricing, progression, monetization, and configuration risk—then turn the analysis into practical models, priorities, and tools.

Start with a diagnostic View the flagship offer
Diagnostics · Sprints · Fractional support
Selected figures01
18+Competitor products benchmarked
300+Production tables decoded
18k+Configuration entries rebalanced
6 figuresAnnual uplift from one system
The urgent problem02

Your team has data, but no shared model for the decision that cannot wait.

Before a launch or major change, partial analysis becomes expensive very quickly.

01The numbers disagree.

Dashboards, configuration, and stakeholder assumptions tell different stories.

02The risk is hard to size.

A retention, pricing, or system concern is visible—but its likely impact is not.

03The decision is approaching.

The team needs a defensible recommendation, not another open-ended analysis.

04The answer must survive handoff.

The model and logic need to stay useful after the initial question is resolved.

Flagship offer03

Fractional Product Systems & Analytics Partner

Ongoing analytical support for complex product decisions.

For teams that need senior analysis and system thinking, but not another full-time hire. I work inside the product cadence: diagnose the issue, build the model, prioritize the response, and leave the team with usable tools.

Discuss a fractional partnership
Focus

Retention, pricing, monetization, progression, product configuration, and decision tooling.

Cadence

Weekly working sessions, focused analysis, written recommendations, and stakeholder-ready outputs.

Outcome

A clearer decision, a traceable model, prioritized actions, and tools the team can keep using.

Two ways into the work.

Choose the specialist route that best matches the decision in front of your team.

01

Game economy consulting

Economy audits, progression balancing, monetization analysis, LiveOps, and implementation-ready models.

Explore service ↗ 02

Product analytics consulting

Retention, pricing, user behavior, configuration risk, and decision tooling for complex digital products.

Explore service ↗

Start at the level the problem requires.

Typical investment ranges in USD. Final scope and pricing are agreed after an initial conversation.

01 / Entry pointDecision Diagnostic

A fast, evidence-led review of one urgent product or system question.

  • 5 business days
  • Risk map and recommendation
  • Decision-ready readout
$2,500–$3,500
02 / ProjectAudit & Rebalance Sprint

Deeper analysis, modeling, and a practical plan for a system that needs to change.

  • 2–4 weeks
  • Model and scenario analysis
  • Implementation priorities
$6,000–$10,000
03 / FlagshipFractional Partnership

Embedded analytical support across ongoing product and system decisions.

  • Scope matched to cadence and involvement
  • Ongoing analysis and decision support
  • 3-month initial term
From $3,500/month
Selected work04

Analysis that changed what the team did next.

Anonymized evidence shows the method and scale without exposing confidential product data.

01

Live product · System audit

Making a large production economy legible.

12Workstreams mapped
 02

Pricing · Value architecture

Reframing a declining product category.

6 figuresFirst-year uplift
 03

Planning · Live operations

Connecting commercial goals to user value.

RecordSeasonal sales

See the full case studies

Working process05
01

Diagnose

Align the question, source data, constraints, and decision deadline.

02

Model

Connect the evidence and test the most important scenarios.

03

Prioritize

Separate urgent risk from useful—but non-critical—improvement.

04

Hand off

Document the logic and leave reusable tools with the team.

Free working resource

Product Systems Health Check

Review 25 common risks across data, user journeys, pricing, system integrity, and decision readiness before a launch or major change.

Run the health check
Profile06
Product analysis grounded in how systems actually behave.

I’m Kristiyan, a data analyst and economy designer with deep experience in live digital products. I work across configuration data, user metrics, competitive benchmarks, and simulation models.

Games are where I built much of this experience. The same analytical approach applies to product teams dealing with complex pricing, retention, incentives, and configurable systems.

View CV
Practical details07
Do you only work with game teams?

No. Games are my deepest domain, but the work is relevant to digital products with complex user behavior, pricing, retention, incentives, or configuration.

What do you need from a team?

A clear decision owner, access to the relevant data or configuration, and enough stakeholder time to establish the real question and constraints.

Can we begin with a small engagement?

Yes. The Decision Diagnostic is designed to test the working relationship while resolving one specific, urgent question.

How is confidential work shown here?

Case-study visuals are anonymized reconstructions. They communicate structure, method, and verified scale without reproducing confidential interfaces or raw client data.

Next step08

Bring the decision that currently feels least clear.

A short qualification form helps me understand the product, available evidence, deadline, and level of support you need.

Start with a diagnostic