NOVASMCEcosystem Architects

01 · DIRECT PLAY

Track how the experience changes across five play-time windows.

A first impression cannot explain a live game. We divide the play experience into five time windows and record what players understand, repeat, struggle with, and return for.

FRAME0–100H ANALYTICAL WINDOW
WINDOWS5 PLAY-TIME WINDOWS
STARTDIRECT PLAY

FIVE PLAY-TIME WINDOWS

The question changes as play time accumulates.

The windows provide one consistent frame for comparing different games. They do not claim that every game was played for exactly 100 hours; actual play evidence is disclosed for each game.

010–1H
First impression

First impression

What does the player understand, and where do they hesitate first?

021–6H
Core play

Core play

Which actions become the main reason to continue?

036–20H
Repeat and return

Repeat and return

Which loops feel rewarding, tiring, or worth returning to?

0420–60H
Growth and economy

Growth and economy

How do growth, resources, difficulty, and goals change over time?

0560–100H
Long-term trust

Long-term trust

What sustains long-term goals, competition, belonging, and trust?

WHAT WE RECORD

We record moments that can be checked again.

The goal is not a play diary. We retain the scenes, actions, friction, responses, and system conditions needed to explain why the experience changed.

01 · SCENE

What happened

We retain the scene and time window so it can be checked again during analysis.

02 · ACTION

What the player did

We retain the scene and time window so it can be checked again during analysis.

03 · RESPONSE

How the experience changed

We retain the scene and time window so it can be checked again during analysis.

04 · CONDITION

Which system condition shaped it

We retain the scene and time window so it can be checked again during analysis.

ANALYSIS METHOD · FOR EXPERT REVIEW

After play, five analytical questions turn observations into a decision.

This expert layer is available when a client needs to inspect how evidence becomes an option and an actionable recommendation.

EE² · 0–100H

Evidence capture

Direct play fixes the scenes, actions, friction, and response coordinates that can be reviewed again.

MMDML · MPM

Perception evaluate

Evaluate where player investment and perceived value reinforce or diverge.

SSFA

Structure localize

Locate the system position and propagation path behind the observed signal.

QM-ABC

Bottleneck qualify

Compress many symptoms into the first structural decision that matters.

TNTRIZ

Optimization design

Design alternatives, protection conditions, validation measures, and rollback boundaries.

NEXT · CUSTOM EXECUTION

Turn what we learned from play into options and an actionable plan.

See how a client question becomes a chosen direction and materials the team can actually use.

See Custom Execution