At a high level, these models emphasize different priorities.
The challenge is not that these models are different. The challenge is that they coexist inside the same system.
The hardest problems emerge where these needs overlap, conflict, or compete for priority.
Multiple audiences do not mean multiple products
Serving different users does not require fragmented experiences. It requires shared foundations and intentional variation.

Most multi-audience products fail in predictable ways.
Common breakdowns include:
These failures are rarely caused by a lack of design talent. They are caused by unclear principles, weak decision ownership, and organizational misalignment.
Low coherence is usually a leadership signal, not a UX one.
All user experiences sit on top of the same underlying system.
When teams design experiences in isolation, they create divergence at the surface while accumulating complexity underneath. Over time, this increases cognitive load, slows delivery, and raises risk.
Strong products work differently.
They establish shared foundations first. Language, patterns, workflows, and rules are consistent. Variation is layered on top through roles, permissions, and context.
Variation without coherence is fragmentation
Products can support different users without becoming different products.
B2B2C complexity becomes most visible in regulated, high-stakes environments.
At Estate Guru, the platform needed to support:
Each audience had different goals, mental models, and constraints. All of them depended on the same underlying workflows, data, and legal outcomes.
The product did not succeed by splitting into separate experiences. It succeeded by enforcing system coherence.
What worked:
This approach reduced errors, increased speed and consistency across design and development, and made it easier to scale new features without fragmenting the experience.
B2B2C products succeed when complexity is treated as a system problem, not a segmentation problem.
You can see how this was handled in the Estate Guru case study
B2B2C complexity exposes weak systems faster than scale alone
Serving multiple audiences reveals whether foundations are strong or improvised.

AI is already affecting how teams manage multi-audience products, but it does not change the underlying challenge.
Used correctly, AI can help teams:
AI cannot:
AI increases speed. Multi-model products require clarity. Without strong foundations, AI simply accelerates fragmentation.
AI increases speed. Principles protect coherence.
Automation amplifies whatever system already exists.
Serving multiple business models requires an intentional decision framework.
That includes:
Frameworks do not slow teams down. It prevents repeated debate and inconsistent outcomes.
Products that lack governance eventually default to fragmentation, even with strong design systems and mature teams.
Early warning signs are often visible before users complain.
Signals include:
These are system signals, not visual nitpicks.
Products that handle B2B, B2C, and B2B2C complexity well tend to share the same traits:
Complexity cannot be removed. It must be designed.
Products that serve multiple audiences expose organizational truth quickly.
Teams that invest in system coherence gain leverage as complexity grows. Teams that avoid it accumulate risk through fragmentation and rework.
Designing for B2B, B2C, and B2B2C is not about choosing sides. It is about building products that remain coherent under pressure.
Whether you’re exploring a new product, refining an experience, or interested in me becoming more permanently involved in your endevor, I’d love to connect. I bring experience across industries, mediums, and technologies, and I enjoy helping teams and individuals think through their most interesting design challenges.