RunItBy – Decision Feedback Platform Viability Assessment

Decision Systems Design & Venture Architecture — Digital Advisory Model

Decision Profile

Domain: Decision Systems Design / Venture Architecture
Type: System Architecture + Strategic Entry
Consequence: Material
Risk Structure: Adoption Dependency / Credibility Sensitivity / Weak Differentiation
Reversibility: Reversible

Executive Abstract

This case evaluated whether RunItBy — a digital platform designed to allow individuals to obtain external feedback on decisions — could be developed into a viable service model. The concept was based on a common behavioral pattern: individuals frequently want to “run an idea by someone” before committing to a course of action.

The analysis focused on whether this behavior could support a scalable platform, rather than whether the behavior itself existed. The determination was GO w/ Modifications: the concept addressed a real and persistent user need, but was structurally weak as a broad, general-purpose platform. It was only considered viable if constrained to a more defined niche with stronger credibility and differentiation.

Decision Context

The proposed platform aimed to provide a simple mechanism for decision feedback. Users would submit a scenario or question and receive input from others — either peers or advisors — before making a decision. The appeal of the concept lay in its simplicity and its alignment with a widely observed behavior.

However, that same simplicity introduced structural concerns. Most individuals already satisfy this need through existing channels: personal networks, informal conversations, online communities, or professional advisors. This raised a critical issue: whether a standalone platform could offer enough additional value to justify adoption and sustained use.

The concept therefore had to be evaluated not as an idea, but as a system competing against deeply embedded alternatives.

Core Decision Question

“Should RunItBy be developed as a scalable digital platform for decision feedback?”

Decision Architecture

Three strategic paths were evaluated.

Launch as a Broad Platform would attempt to capture general consumer demand for decision feedback. While conceptually appealing, this path faced immediate structural challenges: user acquisition difficulty, weak differentiation from existing behaviors, and uncertainty around trust and credibility.

Refine into a Niche Decision Support Service would focus the concept on a specific domain such as entrepreneurship, career decisions, or small business strategy. This path improved clarity, increased perceived expertise, and strengthened the potential for user trust.

Do Not Pursue would avoid platform risk entirely, recognizing that many digital advisory concepts fail due to weak adoption dynamics.

The analysis determined that the concept was not strong enough in its broad form, but could become viable if narrowed and repositioned around a specific decision domain.

Decision Outcome

GO w/ Modifications

RunItBy was not approved as a general-purpose decision-feedback platform.

It was approved only under a constrained model that emphasized specialization, credibility, and clearer differentiation from informal advice channels. Without that refinement, the platform would likely struggle to achieve adoption, trust, and monetization.

The central determination was that the idea’s strength — its simplicity — was also its primary weakness. The behavior it targeted already existed in multiple forms, making it difficult to justify a standalone platform without stronger positioning.

Structural Lessons

—A real human behavior does not automatically translate into a viable platform.
—Simplicity can reduce friction, but may also reduce perceived value.
—Digital advisory models depend heavily on credibility and trust, not just access.
—Broad consumer platforms often fail when they compete with existing informal behaviors.
—Specialization is often required to convert general interest into sustained adoption.

Final Determination Record

This case study is derived from a structured determination conducted using the Decision Standards Determination Framework (DSDF-1.1).

Determination Type:: Service Position Determination (SPD)
Determination Status:: Completed
Publication Status:: Public Case Study
Document Version:: 1.0
Revision Status:: Original Public Release
Archive Status:: DecisionStandards Case Library

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