Visualizing Relationships to Drive Enterprise Growth

Partnered with Product to shape the vision for Clari Align’s account planning experience and led the design direction that helped enterprise teams map influence, strengthen relationships, and close strategic deals.

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Platform Expansion
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Relationship Intelligence
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Scalable Systems Design
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Key Results

Launched a new account planning and relationship mapping product area

Enabled enterprise teams to reason about influence and buying dynamics in-platform

Established a scalable foundation for future account intelligence capabilities

Selected Execution Artifacts

A small set of representative screens showing how the relationship model translated into a usable, enterprise-ready experience. These artifacts demonstrate progression from empty state to enterprise-scale complexity.

Final execution by a product designer on my team, guided through close collaboration, critique, and hands-on experience direction.
View full execution details

As Clari’s platform matured into a comprehensive revenue and sales engagement suite, it became clear that one critical area of enterprise selling remained underserved: account planning and relationship management.

Clari Align is Clari’s mutual action planning product, designed to help sellers and customers align around shared goals, milestones, and next steps. With this work, Align was extended beyond execution planning to support account planning and relationship mapping—making it possible for sales teams to understand complex buying groups, influence, and opportunity directly within the platform.

Rather than addressing a friction in existing Clari workflows, this effort expanded the platform into a new, adjacent product area where teams were already compensating with point solutions, spreadsheets, and slide decks. The initial release was intentionally MVP in scope, but grounded in enterprise-first needs and informed by multiple enterprise customers. It positioned Clari to compete credibly in the account planning space while creating a foundation that could evolve into deeper intelligence and tighter platform integration over time. I led this work as a player-coach, combining hands-on design contribution with system-level leadership to ensure quality, scalability, and long-term leverage.

Executive Summary

  • Extended Clari Align from mutual action planning into account planning and relationship mapping, introducing a new strategic product area within the Clari platform.
  • Addressed enterprise sales complexity by enabling teams to reason about buying groups, influence, and opportunity directly in-product, rather than through disconnected artifacts.
  • Designed for broad enterprise applicability, informed by a design partnership with a Fortune 500–scale customer and validated against patterns observed across multiple enterprise organizations.
  • Expanded the platform’s competitive surface area, moving Clari beyond execution and inspection to support upstream strategic selling in ways standalone tools could not.
  • Balanced direct design contribution with scalable leadership, defining the experience model, core interaction patterns, and quality bar while partnering closely with product and engineering on long-term extensibility.

Situation & Stakes

Clari Align was originally built as a mutual action planning product—helping sellers and customers align around shared objectives, milestones, and commitments once a deal was already in motion. While effective for execution, it did not address an earlier and equally critical phase of enterprise selling: account planning.

Account planning is the ongoing practice of understanding a customer organization well enough to guide long-term strategy—who influences decisions, how buying committees are structured, where risk exists, and where future opportunity may lie. In enterprise sales, this work happens long before and well beyond a single deal cycle.

Rather than being unsupported entirely, account planning was already happening—just not inside Clari.

Enterprise teams relied on a combination of:

  • Point solutions such as LinkedIn Sales Navigator, People.ai and similar relationship or intelligence tools
  • Spreadsheets used to track stakeholders, influence, and coverage
  • Manually created slide decks used to synthesize strategy and communicate internally and externally

These tools solved pieces of the problem, but they lived outside the core sales workflow. Relationship context was static, difficult to keep current, and rarely connected to execution data. Insights were often rebuilt repeatedly and shared inconsistently across teams.

This opportunity became especially concrete through a design partnership with a Fortune 500–scale enterprise customer, whose sales teams treated account planning as a formal discipline. For each strategic account, they created extensive slide decks—often dozens of pages long—that documented:

  • Company objectives and strategic priorities
  • Key risks and competitive threats
  • Buying and selling team members
  • A manually created relationship map showing influence and connections
  • A whitespace analysis—a structured view of which products or services the customer had adopted versus those they had not, used to identify upsell and cross-sell opportunities

While this partnership provided rich, real-world grounding, it was not treated as a one-off requirement. Similar patterns surfaced across other enterprise customers, reinforcing that this was a category-level need, not a bespoke request.

The stakes were strategic:

  • Platform risk: Without native account planning, Clari risked ceding an important part of the enterprise sales workflow to standalone tools.
  • Competitive risk: Point solutions could specialize deeply, but they lacked Clari’s ability to connect planning, execution, and intelligence into a unified system.
  • Growth opportunity: Extending Align into account planning represented a natural evolution of Clari’s revenue and sales engagement suite—one that competitors were less equipped to deliver holistically.

This work was not about fixing a broken experience. It was about expanding the platform into a new domain in a way only an integrated system could—starting with enterprise complexity and designing forward toward a more complete, connected model of strategic selling.

Team, Role & How We Worked

This work began in a deliberately small, senior configuration before expanding into a focused delivery model as scope and confidence increased.

Scope I Owned

  • End-to-end experience and design strategy for extending Clari Align into account planning and relationship mapping
  • Early problem framing and experience modeling with the Align Product Manager
  • Definition of the core relationship model and interaction patterns
  • Hands-on contribution during early design exploration and concept development
  • Design direction, critique cadence, and quality bar throughout delivery
  • Design representation in enterprise leadership discussions, including direct engagement with a Fortune 500–scale design partner to clarify needs, pressure-test assumptions, and refine the experience
  • Ongoing partner to product and engineering on scalability, trade-offs, and long-term extensibility
  • Player-coach leadership through launch, balancing direct involvement with designer ownership

At the outset, the effort was driven by the Product Manager for Clari Align and me, working closely together to explore whether account planning and relationship mapping represented a viable extension of the product. At this stage, the work was primarily strategic—framing the problem space, pressure-testing assumptions, and sketching early experience models in close partnership with a Fortune 500–scale enterprise customer acting as a design partner.

In parallel, the Product Manager coordinated with the customer’s account team to formalize a commercial engagement that allowed us to build and validate an initial MVP. While the commercial details were handled outside design, this context shaped how we approached the work: we needed to move quickly, demonstrate credibility at enterprise scale, and ensure the solution was not narrowly tailored to a single customer’s needs.

As part of this collaboration, I regularly represented design in leadership-level conversations with the design partner—asking targeted questions, validating assumptions, and using real-world scenarios to refine how account planning and relationship mapping needed to function in practice. These discussions helped ensure the experience reflected enterprise reality rather than theoretical workflows.

As the work moved toward formal execution, I expanded the team intentionally and briefly, bringing in two additional product designers to accelerate exploration. Their focus was to extend early concepts, explore alternative approaches, and move the work rapidly from low-fidelity thinking into high-fidelity concepts for review with the design partner and a small set of other enterprise customers. During this phase, I remained hands-on—contributing to early designs, guiding structure and hierarchy, and ensuring alignment with the broader platform direction.

Once the contract was executed and the core direction validated, I transitioned the work into a more durable delivery model. I assigned a single product designer to own the day-to-day design execution, with me operating as a player-coach throughout the remainder of the project.

In this phase:

  • The designer owned detailed design production and iteration
  • I remained deeply engaged through critique, regular feedback, and frequent pair-design sessions
  • I focused on experience integrity, interaction quality, and system-level decisions rather than direct pixel execution

While I did not contribute designs directly in Figma during this stage, I stayed close to the work—pressure-testing decisions, resolving trade-offs, and ensuring the solution continued to serve enterprise needs while remaining extensible over time.

This operating model persisted through launch. It allowed us to move quickly early, then shift toward sustainable execution without creating dependency or bottlenecks. Most importantly, it ensured the work benefited from senior judgment at critical moments while enabling a product designer to fully own and grow with a complex, high-stakes product area.

Mandate & Success Criteria

The mandate for this work was not framed as a narrow usability problem or a request to replicate an existing point solution. Instead, it emerged from a broader strategic question: how Clari should evolve as a revenue and sales engagement platform to better support enterprise selling.

At a high level, the ask was to extend Clari Align beyond mutual action planning to support account planning and relationship mapping. But it quickly became clear that success would depend less on feature completeness and more on whether the platform could credibly enter a new domain without fragmenting the overall experience.

Account planning already had an ecosystem of solutions. Enterprise teams were using standalone tools, CRM extensions, spreadsheets, and slide decks to reason about relationships, influence, and opportunity. Competing directly on depth alone would have required building a specialized tool disconnected from Clari’s core strengths. The real opportunity—and the risk—was determining how account planning could live inside an integrated revenue platform in a way that other solutions could not.

This reframed the mandate:

  • Introduce account planning and relationship mapping as a first-class capability, not a bolt-on visualization.
  • Anchor the experience in enterprise complexity from the outset, rather than optimizing for lightweight or SMB use cases.
  • Ensure the underlying model could scale forward into deeper intelligence, integrations, and workflows over time.

At the same time, scope discipline mattered. The initial release needed to be focused enough to ship, while still establishing the right foundations.

Explicit non-goals for the first release:

  • Not a full replacement for CRM contact management
  • Not exhaustive data editing or manipulation inside the relationship map
  • Not a complete representation of every possible stakeholder or external relationship
  • Not a slide-generation or reporting solution (though this was identified as a critical future extension)

Instead, the goal was to define the core relationship model and interaction patterns that could support enterprise account planning while remaining extensible.

Success Criteria

Success was evaluated along three dimensions:

  1. Strategic credibility
    Enterprise sales teams must be able to use Clari Align to understand complex buying groups, influence, and risk without relying exclusively on external artifacts. The product needed to feel legitimate in high-stakes, multi-account enterprise contexts.
  2. Platform coherence
    Account planning and relationship mapping needed to integrate naturally with the rest of the Clari ecosystem, reinforcing the platform’s value as a unified system rather than creating another disconnected surface.
  3. Foundational scalability
    The experience and underlying model had to support future expansion—such as broader organizational views, deeper data integration, and downstream workflows—without requiring a fundamental redesign.

This was not measured by short-term adoption or feature parity. The success test was whether Clari could credibly expand into account planning as a product area, using Align as the foundation, and do so in a way that competitors focused on single-purpose tools could not easily replicate.

User & Market Insights

Through early exploration, leadership discussions with enterprise partners, and validation across multiple customers, several patterns emerged that fundamentally shaped how account planning and relationship mapping needed to work inside Clari Align. These insights went beyond surface usability and directly informed the underlying model, not just the interface.

1. Account planning is a living practice, not a static artifact

Enterprise teams did not treat account plans or relationship maps as one-time deliverables. Buying groups shifted, priorities changed, and influence moved as deals progressed. Yet most existing tools—and nearly all slide-based workflows—produced static snapshots that were outdated almost as soon as they were created.

Design implication:
The experience needed to support partial, evolving knowledge. We optimized for updating and reasoning over time, rather than completeness or visual polish. This pushed us toward interaction patterns that made change feel lightweight and expected, not exceptional.

2. Influence matters more than hierarchy

While org charts provided a useful starting point, enterprise sellers consistently emphasized that titles alone were a poor predictor of decision-making power. Informal influence, cross-functional relationships, and non-obvious stakeholders often mattered more than formal reporting lines.

Design implication:
Relationship mapping could not be treated as a simple organizational diagram. The model needed to emphasize connections, strength, and relevance, allowing teams to reason about influence without overloading the UI with unnecessary structural detail.

3. Relationship context must connect to strategy, not just documentation

Teams were already documenting relationships thoroughly—in spreadsheets, notes, and slide decks. The problem wasn’t lack of effort; it was that relationship information rarely translated into action once planning transitioned into execution.

Design implication:
The relationship map needed to function as a decision surface, not a repository. We prioritized clarity, signal, and navigability over exhaustiveness, ensuring that insights gathered during planning could meaningfully inform downstream sales motions.

4. Enterprise teams plan beyond the visible org chart

In multiple enterprise scenarios, critical stakeholders existed outside the immediate organizational hierarchy—board members, partners, executive sponsors, or adjacent teams influencing outcomes indirectly. These relationships were often captured manually in slides because existing tools couldn’t represent them cleanly.

Design implication:
The underlying relationship model had to be extensible. Even though the initial MVP focused on core org-level relationships, the system needed to anticipate broader contexts without requiring redesign. This influenced how entities, connections, and metadata were structured from the start.

Collectively, these insights reframed the problem. Relationship mapping inside Clari Align was not about creating better diagrams—it was about enabling enterprise teams to reason about complexity, uncertainty, and influence in a way that could evolve over time and integrate naturally into a broader revenue platform.

Strategy, North Star & Tenets

The insights from enterprise customers made one thing clear: success would not come from building the most feature-rich relationship mapping tool. It would come from embedding account planning into Clari’s platform in a way that preserved strategic signal, supported enterprise complexity, and scaled forward without fragmentation.

Product Strategy

The core strategy was to treat account planning and relationship mapping as a platform capability, not a standalone destination.

Rather than competing directly with point solutions optimized for depth in isolation, Clari Align would:

  • Provide a shared, durable model for understanding accounts and relationships
  • Integrate planning directly with execution and intelligence already present in the platform
  • Establish a foundation that could expand into richer workflows over time

This meant prioritizing coherence and extensibility over immediate completeness. The first release needed to feel credible for enterprise teams while remaining intentionally constrained—proving the model before expanding the surface area.

North Star

Enable enterprise sales teams to reason about complex buying groups quickly, confidently, and collaboratively—without leaving the platform.

This north star reframed the experience away from documentation. The goal was not to capture every possible detail, but to help teams answer essential questions:

  • Who matters in this account right now?
  • How are they connected?
  • Where is influence strong, weak, or missing?
  • What does this mean for our strategy?

The relationship map became a thinking tool, not an artifact to be perfected.

Design Tenets

These tenets guided every major decision, from the underlying relationship model to individual interaction patterns.

  1. Optimize for reasoning, not completeness
    Enterprise teams value clarity over exhaustiveness. The experience should surface the most relevant signals without demanding perfect data.
  2. Make change feel lightweight
    Account plans evolve constantly. Updating relationships, stakeholders, or context should feel expected and low-friction, not like rework.
  3. Prioritize signal over structure
    Formal hierarchy is a starting point, not the goal. The design must emphasize influence and relevance rather than rigid organizational diagrams.
  4. Design for extension from day one
    Even when features are deferred, the model must anticipate future needs—broader relationship contexts, deeper integrations, and downstream workflows.
  5. Integrate, don’t isolate
    Account planning should strengthen Clari’s role as a unified revenue platform, not introduce another disconnected surface.

A Tempting Path We Didn’t Take

One early option was to build a deep, visually rich relationship visualization—closer to what many standalone tools offer. While compelling in isolation, this approach failed against the tenets. It emphasized diagram fidelity over decision-making, increased maintenance cost, and risked becoming a siloed feature rather than a platform capability.

Choosing not to pursue this path allowed the team to stay focused on foundational value: delivering an MVP that enterprise teams could trust and that Clari could build on without rework.

Design Approach & Trade-offs

The design approach focused on establishing a clear experience architecture and relationship model that could support enterprise account planning immediately, while remaining flexible enough to evolve into a broader intelligence layer over time.

Rather than starting with screens, the work began by defining what needed to be true for an enterprise seller to reason effectively about an account. This framing helped avoid the common trap of designing a visually impressive map that failed to support real decision-making.

Experience Architecture

At a high level, the experience was structured around three core layers:

  1. Account context
    The account provides the grounding frame—objectives, risks, and strategic relevance—without overwhelming the relationship view.
  2. Relationship model
    People and roles are represented in a way that emphasizes connections and relevance over rigid hierarchy. The map serves as a navigable representation of influence rather than a canonical org chart.
  3. Interpretation and action
    The experience is designed to help teams interpret what they’re seeing and move forward—connecting relationship context back to planning and execution elsewhere in the platform.

This architecture ensured the relationship map functioned as a thinking surface, not a dead-end visualization.

The Core Relationship Model

A critical design decision was to keep the initial relationship model intentionally constrained.

The MVP focused on:

  • Core stakeholders directly involved in the account
  • Clear, readable connections that supported quick understanding
  • Progressive disclosure rather than full-detail exposure

This constraint was deliberate. It allowed the experience to remain legible and usable in enterprise scenarios, while creating room to extend into:

  • Broader organizational contexts (e.g., board or partner relationships)
  • Deeper integration with sales data
  • Additional signals layered onto relationships over time

The goal was not to model everything immediately, but to model the right things well.

Primary Flow (Representative)

A typical interaction flow looked like this:

  1. An AE opens Clari Align within the context of a strategic account
  2. They access the relationship view to understand the current buying group
  3. Key stakeholders and connections are immediately visible, without requiring setup
  4. The AE navigates relationships to assess influence and coverage
  5. Gaps, risks, or opportunities become apparent through structure and signal
  6. The AE uses this context to inform planning and execution elsewhere in the platform

This flow prioritized speed to understanding over configuration or customization.

Craft Decisions That Mattered

Several design decisions carried disproportionate impact:

  • Hierarchy and layout were optimized for readability at a glance, ensuring enterprise-scale accounts remained navigable without visual overload.
  • Progressive disclosure reduced cognitive load, allowing teams to focus on what mattered most before diving deeper.
  • Interaction affordances emphasized exploration and understanding rather than data entry, reinforcing the map’s role as a decision aid.

Accessibility and clarity were treated as baseline requirements, not afterthoughts—particularly important given the density and complexity of enterprise accounts.

Trade-offs and Deferred Capabilities

Some capabilities were intentionally deferred to protect the integrity of the initial release:

  • Export to slides
    While critical for enterprise communication, exporting relationship maps into presentation-ready formats was deferred to avoid coupling early design decisions too tightly to static outputs.
  • Broader relationship contexts
    Relationships beyond the immediate org, such as board members or external partners, were identified as important but postponed to keep the MVP focused and legible.
  • Inline data editing
    Deeper CRM-style interactions (e.g., creating or editing contacts directly within the map) were deferred to avoid increasing complexity and context switching in the initial experience.

These were not omissions; they were sequenced decisions. The underlying model anticipated these needs without forcing premature surface complexity.

The result was an experience that felt purposeful rather than exhaustive—credible for enterprise teams today, and structurally prepared for expansion tomorrow.

Execution & Quality (Selected Screens)

The screens below illustrate how the account planning and relationship mapping strategy translated into a usable, enterprise-ready experience inside Clari Align. Rather than presenting a full UI walkthrough, these examples focus on representative moments that demonstrate platform integration, MVP scope discipline, and how the relationship model holds up from an empty state through enterprise-scale complexity.

The emphasis here is on how the experience supports reasoning: moving from account context into relationship understanding, progressively enriching that understanding, and scaling to dense buying groups without overwhelming the user.

Final execution designs were created by a product designer on my team; my role focused on experience strategy, critique, and design quality throughout delivery.

Prototype 1: Single Contact → Progressive Detail

This flow demonstrates how relationship mapping begins from a blank state and progressively gains meaning as sellers add and refine account knowledge. The focus is on reducing friction early, supporting partial understanding, and allowing detail to emerge over time without disrupting the broader account planning workflow.

Screen A — Clari Inspect (starting point)

Relationship mapping is accessed directly from Clari Inspect, grounding the experience in an active account and reinforcing that this work lives inside the platform—not as a standalone tool or disconnected workflow.

Screen B — Clari Align account planning workspace

Screen C — Relationship map (empty state) / Add potential contact

Add new contact
Default relationship map state, intentionally usable before any contacts are added. The “Add potential contact” option supports early account exploration by allowing teams to capture relevant stakeholders before they exist in the contact database.

Screen D — Relationship map + side panel

Screen E — Relationship map with selected card fully enriched

As account knowledge matures, the relationship model supports seamless progression from exploratory placeholders to confirmed stakeholders.

Prototype 2: Scaling Relationship Mapping for Enterprise Accounts

While the first prototype focuses on building relationship context from scratch, this second flow demonstrates how the experience scales when enterprise accounts are initialized with a large volume of contacts. The goal here is not to show every interaction, but to prove that the underlying relationship model and interaction patterns remain legible and usable under density.

These screens illustrate how bulk import accelerates setup for complex accounts, while zooming, selection, and focus states allow sellers to reason about influence and coverage without losing orientation or control.

Screen A — Bulk Import Entry

Screen B — Large Relationship Map (Zoomed Out)

Screen C — Focused / Zoomed-In Cluster

Delivery & Design-Quality Safeguards

Given the strategic importance of opening a new product area, delivery was approached as a risk-managed rollout, not a single launch moment. The goal was to ship a credible MVP while protecting experience integrity and preserving room to evolve the model over time.

Phased Delivery Approach

The work progressed in clear phases, each designed to burn down a different type of risk:

  1. Concept validation with enterprise partners
    Early concepts were reviewed with a Fortune 500–scale design partner and cross-checked against patterns observed with other enterprise customers. This phase focused on validating the model—not polish—ensuring the relationship abstraction matched real planning behaviors.
  2. Focused MVP execution
    Once the direction was validated, scope was intentionally constrained to the smallest surface area that could still support enterprise reasoning. This allowed the team to ship quickly without undermining long-term scalability.
  3. Launch with forward-looking guardrails
    The initial release was framed explicitly as foundational. Deferred capabilities were documented and sequenced, ensuring future work would extend the model rather than fragment it.

Design-Quality Safeguards

To maintain quality under MVP constraints, several safeguards were built into the operating model:

  • Regular design critique
    I maintained a consistent critique cadence focused on experience clarity, hierarchy, and interaction integrity—not just visual execution. This helped surface risks early and prevent incremental drift.
  • Player-coach checkpoints
    Through pair-design sessions and frequent reviews, I stayed close to critical decisions while allowing the assigned product designer to own execution. This ensured senior judgment was applied where it mattered most without creating bottlenecks.
  • Enterprise scenario testing
    Designs were pressure-tested against realistic enterprise scenarios—large buying groups, incomplete data, and evolving relationships—to ensure the experience remained legible and useful under complexity.
  • Explicit scope discipline
    Deferred features were treated as intentional sequencing decisions, not omissions. This prevented “just one more feature” creep that could compromise the core experience.
  • Design QA checkpoints during implementation
    As engineering shipped incremental updates, I ran regular design QA reviews to ensure interaction behavior, layout, and hierarchy stayed aligned with the intended experience. This helped catch subtle regressions early and prevented design quality from eroding during delivery.

Managing the Riskiest Bet

One of the highest-risk decisions in the project—the underlying technology used to render and support the relationship map—was owned by engineering, but design played an active role in evaluation.

Design participated in reviewing proofs of concept and assessing whether proposed technical approaches could support:

  • Readability at enterprise scale
  • Interaction flexibility
  • Future extensibility without rework

While the final decision was not design-owned, this collaboration helped ensure the chosen approach aligned with experience needs rather than constraining them after the fact.

By combining phased delivery with explicit quality safeguards, the team was able to ship a focused MVP that met enterprise expectations without locking the product into brittle decisions. More importantly, it ensured the experience could evolve deliberately, building on a stable foundation rather than accumulating design debt.

Outcomes & Evidence

The success of this work was not defined by short-term feature adoption alone, but by whether Clari could credibly enter account planning and relationship mapping as a product area, and do so in a way that strengthened the broader platform rather than fragmenting it.

Because the initial release was positioned as foundational, outcomes were evaluated through a combination of experience signals, enterprise behavior, and platform-level business impact.

Experience Outcomes (UX Signals)

  • Improved speed to understanding for enterprise accounts
    Enterprise sellers were able to quickly orient themselves to complex buying groups without reconstructing relationship context from slides or spreadsheets. The relationship view served as a shared reference point rather than a personal artifact.
  • Reduced reliance on static planning artifacts
    While slide decks and spreadsheets continued to play a role, teams no longer had to start from scratch when preparing for account discussions. Relationship context became persistent and easier to maintain over time.
  • Greater confidence in account planning conversations
    The experience supported clearer internal discussions around influence, coverage, and risk—helping teams reason about what they knew, what they didn’t, and where attention was needed.
  • Legibility under enterprise complexity
    Designs held up in scenarios involving large buying groups and incomplete data, validating the decision to prioritize signal, hierarchy, and progressive disclosure over visual density.

Business & Platform Outcomes

  • Expansion into a new competitive category
    By extending Clari Align into account planning and relationship mapping, Clari entered a space previously dominated by standalone tools and manual workflows—broadening the platform’s strategic footprint.
  • Strengthened enterprise positioning
    The ability to support account planning reinforced Clari’s credibility with large, complex customers who viewed this capability as table stakes for strategic selling.
  • Foundation for future platform capabilities
    The underlying relationship model and experience architecture created a durable base for planned extensions, including broader organizational context, deeper data integration, and downstream workflows.
  • Reinforced platform cohesion
    Unlike point solutions, account planning lived alongside execution and intelligence, supporting Clari’s positioning as a unified revenue and sales engagement suite.

Triangulation Table

Claim
Evidence Type
Source
Method
Direction
Confidence
Enterprise teams could reason about complex buying groups more quickly
UX signal
Design partner feedback
Scenario walkthroughs and reviews
High
Reduced dependence on manually rebuilt slides and spreadsheets
Qualitative
Enterprise customers
Workflow comparison discussions
Medium
Account planning felt credible inside the platform
Behavioral
Enterprise usage patterns
Early adoption and continued engagement
Medium
Clari expanded into a strategic adjacent category
Business outcome
Product strategy
Platform capability expansion
High
Foundation supports future extensibility without rework
Structural
Design + engineering assessment
Architecture review
High

Together, these outcomes demonstrate that the work succeeded not by maximizing surface area, but by establishing trust with enterprise users, with internal teams, and with the platform’s long-term direction.

Leadership Moments & Reflection

Alignment under ambiguity

Account planning represented a meaningful expansion of Clari Align’s scope, with no clear precedent inside the platform. I helped align product, design, and engineering early around what problem we were actually solving—framing the work as a platform capability rather than a feature request. This shared framing allowed teams to make consistent decisions even as scope and details evolved.

Judgment and sequencing

Rather than chasing feature parity with standalone tools, I advocated for a constrained MVP that established the right foundation. This meant explicitly deferring capabilities that were valuable but premature, and protecting the experience from incremental complexity that would have compromised clarity and extensibility.

Upleveling through ownership

By transitioning from hands-on contribution to a player-coach model, I enabled a product designer to fully own a complex, enterprise-facing product area. Through critique, pair-design sessions, and ongoing feedback, I focused on upleveling judgment and confidence rather than directing execution—resulting in stronger outcomes and a more resilient team.

What I'd Do Differently

If revisiting this work, I would invest earlier in lightweight instrumentation around how enterprise teams referenced and returned to relationship context over time. While qualitative signals and partner feedback validated the experience, having earlier behavioral metrics—such as revisit patterns or change frequency—would have strengthened confidence in prioritization and sequencing decisions.

I would also look to introduce limited export or sharing capabilities sooner, even in a constrained form, to better support enterprise communication workflows without undermining the core in-product experience.