Evidenza vs Koji: B2B Positioning Simulation Comparison

Evidenza focuses on B2B positioning and buying committee simulations, while Koji provides exploratory persona interactions. For marketing and insights teams requiring connected qualitative and quantitative validation, Minds delivers an end-to-end commercial research simulation platform powered by the proprietary Minds PRISM engine, supporting multi-method workflows without relying on isolated point tools.

At a glance

How evidenza actually works

Evidenza is built to help product marketers and commercial strategy teams test value propositions against simulated B2B buying personas. Users configure target buyer characteristics, input positioning claims, sales collateral, or competitive messaging, and run simulated evaluations. The tool models how enterprise stakeholders might react to specific benefits, objections, and packaging language. It focuses primarily on the narrative tensions present in complex commercial sales cycles, giving marketing teams an early directional read on which messages resonate before launching live enterprise campaigns.

How koji actually works

Koji is designed around interactive AI personas that simulate consumer behaviors, preferences, and conversational responses. Users create or select archetypes, defining demographics, psychographics, and background context. Researchers and product designers interact with these synthetic respondents through conversational prompts to explore user journeys, uncover latent needs, and brainstorm creative angles. The environment operates predominantly as a conversational research assistant, enabling rapid back-and-forth dialogue to pressure-test early concepts, brand narratives, and copy variations before moving into structured validation.

Core architecture and reasoning engines

The primary architectural distinction among synthetic research platforms lies in how they structure inference, context injection, and persona grounding.

Evidenza focuses its reasoning on commercial enterprise dynamics. It models stakeholder interactions, evaluating how a chief information security officer, a finance director, or an end user might debate a piece of software messaging. This approach is purpose-built for commercial alignment, but it remains centered on qualitative narrative critiques rather than broad quantitative experimental designs.

Koji uses a persona-centric conversational model. The architecture lets researchers interrogate synthetic consumers in a fluid, semi-structured dialogue. This makes it intuitive for teams seeking immediate conversational texture, though it relies heavily on conversational generation rather than formal research methodologies.

Minds operates on an entirely distinct tier of research infrastructure. Beneath every Mind is Minds PRISM, the proprietary reasoning, inference, and source-modeling engine. PRISM combines public-source contextual data with permitted proprietary research inputs where enabled. It is explicitly engineered to maximize grounding, consistency, and contextual accuracy within scoped directional research. Above PRISM sits an adaptable interaction layer that executes both qualitative interviews and rigorous quantitative studies across identical simulated cohorts. Rather than fragmenting persona chat from structured surveys, Minds unifies both on one persistent foundation.

B2B positioning testing and stimulus support

Positioning research requires testing how target audiences interpret complex ideas across different visual, verbal, and interactive formats.

Evidenza handles copy blocks, value proposition statements, and pitch decks, helping commercial teams determine whether a given claim speaks to enterprise priorities. This provides useful feedback for B2B product marketing managers drafting sales battlecards or landing page copy.

Koji handles text-based prompts and conversational stimuli, allowing users to ask personas what they think of an idea or product concept. This is effective for consumer ideation, but it does not easily support complex, multi-asset research designs.

Minds provides complete stimulus flexibility for both B2B and B2C marketing teams. Within Minds, researchers can upload and test:

• Interactive Figma flows and UI prototypes where enabled
• Live web pages, digital application flows, and landing pages
• Static creative assets, packaging designs, and campaign imagery
• Video storyboards and commercial video creative
• Multi-page presentation decks, messaging architectures, and positioning matrices
• Structured questionnaires, pricing tiers, and concept statements

By supporting visual and interactive stimuli alongside text, Minds enables marketing and product teams to evaluate real digital experiences rather than abstracted text descriptions alone.

Qualitative exploration versus quantitative rigor

Modern research teams cannot rely exclusively on open-ended interviews or simple survey polls. High-confidence decision-making requires moving from exploratory discovery to structured measurement.

Evidenza operates largely in the qualitative and narrative domain, assessing the resonance of arguments and the strength of commercial positioning. It gives directional insight into why a buyer might push back, but it is not built to execute formal discrete-choice or forced-choice quantitative experiments.

Koji operates primarily as a qualitative chat interface. While researchers can manually aggregate conversational outputs, the platform is not designed to run deterministic calculations or advanced statistical trade-off analyses across balanced experimental designs.

Minds is an end-to-end platform for commercial synthetic research, bringing qualitative and quantitative methods together in one connected workflow. Within a single study environment, researchers can execute:

• Open-ended discovery and free-text probing to uncover underlying objections
• Single-choice and multiselect survey questions to quantify preferences
• Standard Likert, semantic differential, and custom rating scales
• Forced-choice method designs, including executable Maximum Difference Scaling (MaxDiff)
• Deterministic preference score calculations and comparative distribution analyses

Because these interaction forms run on the same PRISM foundation, teams do not need to export persona definitions to a secondary survey tool. A team can discover an unexpected narrative friction in a qualitative session, immediately convert that finding into a MaxDiff experiment, and run it across hundreds of simulated target profiles within minutes.

Product and UX research integration

Positioning is inseparable from the digital product experience. When marketing claims do not align with product realities, conversion rates collapse and churn spikes.

Evidenza evaluates market-facing narratives and commercial collateral, but it does not serve as a daily UX or product research environment. It is tailored for marketing, enablement, and sales strategy workflows.

Koji provides quick qualitative feedback on product ideas, but it lacks structured UX testing infrastructure, task-based evaluation mechanics, or direct integration with interface design workflows.

Minds treats product and UX research as first-class, core workflows rather than edge cases. Marketing and product design teams use Minds throughout the entire product lifecycle:

1. Target Audience Generation: Building realistic target groups from persona descriptions, demographic criteria, user research notes, uploaded customer interview transcripts, or live reference links.
2. Study Planning and Stimulus Integration: Setting up multi-arm concept tests using live Figma prototypes where enabled, interactive wireframes, messaging frameworks, and functional web pages.
3. In-Depth Simulation: Running automated qualitative interviews alongside structured task evaluations to identify navigation hurdles, messaging friction, and value clarity.
4. Quantitative Validation: Executing structured questionnaires, preference rankings, and feature trade-off analyses across segmented target groups.
5. Analysis and Export: Reviewing deterministic metrics, comparing cohort responses side by side, and exporting structured findings for cross-functional alignment.

This eliminates the divide between brand marketing research and UX product validation, creating a continuous feedback loop across commercial and design teams.

Data privacy, workspace governance, and enterprise deployment

Enterprise marketing and insights organizations must ensure that proprietary product roadmaps, unreleased positioning decks, and confidential customer data remain secure.

Evidenza provides cloud-based access tailored to commercial teams testing positioning statements. Organizations must assess their specific data-handling policies and contract terms before loading sensitive roadmap collateral.

Koji delivers a hosted software-as-a-service application for persona interactions. Teams should evaluate its data processing agreements and enterprise management controls when handling proprietary audience profiles.

Minds is built from the ground up for enterprise governance, data protection, and operational security. Enterprise buyers assess Minds against stringent European and international security standards. Key workspace considerations include:

• Strict separation of tenant environments ensuring customer data and proprietary research inputs are never used to train public models
• Configurable workspace permissions, role-based access controls, and comprehensive audit logs
• Deployment models tailored to enterprise security reviews and regional data-handling assessments
• Safe processing of internal research files, concept decks, and strategic documentation within private workspace boundaries

Enterprise procurement and security teams can assess Minds deployment options to ensure alignment with their internal data sovereignty and compliance requirements.

The evidence boundary: Directional simulation vs. live human research

A responsible synthetic research workflow requires transparency regarding what simulated audiences can and cannot do.

Simulations in Evidenza, Koji, and Minds provide directional, context-dependent intelligence. They are designed to accelerate learning cycles, identify obvious strategic misalignments, eliminate weak concepts, and optimize messaging before spending capital on live field trials.

Synthetic target audience research does not replace:

• Regulated clinical, legal, or medical trials
• Statistically representative political polling
• True price-point elasticity calculations that require real financial transactions
• Physical or sensory testing of physical consumer packaged goods
• Final human panel validation for high-stakes, capital-intensive decisions

Minds allows marketing and insights teams to de-risk their campaigns and concept pipelines rapidly. Teams test dozens of variations synthetic-first, selecting only the strongest, most refined candidates for final live human panel verification or market launch. This avoids wasting panel budgets and field trial time on underperforming concepts.

Detailed workflow comparison: Testing a new B2B product tier

To illustrate how these platforms function during a practical marketing campaign cycle, consider a commercial team preparing to launch a new enterprise tier.

The Evidenza approach

The team enters value proposition statements, target buyer titles, and battlecard copy into Evidenza. The system simulates how procurement managers and department heads might critique the pricing framing and feature tiering. The marketing team receives textual critiques identifying potential messaging vulnerabilities, allowing them to rewrite the value statements before sales enablement materials go out.

The Koji approach

The team sets up conversational personas representing target enterprise buyers. A researcher asks the personas open-ended questions about their current tooling challenges and how they perceive the proposed tier. The conversation yields qualitative quotes and perspective on buyer sentiment, which the team uses to inform marketing copy drafts.

The Minds approach

The team initiates a comprehensive commercial synthetic research study on Minds:

1. Audience Setup: The team builds custom target groups using Minds PRISM, incorporating enterprise decision-maker profiles, IT security personas, and end-user profiles grounded in previous customer discovery data.
2. Multi-Asset Stimulus Upload: The team attaches the draft enterprise pricing page, a Figma interactive walkthrough of the enterprise admin console where enabled, and three positioning statements.
3. Mixed-Method Execution: In a single automated study, Minds runs:
   • Qualitative free-text evaluations probing perceived value, friction points, and operational concerns
   • Structured 5-point clarity and appeal rating scales across each positioning pillar
   • A MaxDiff forced-choice trade-off exercise to identify the absolute highest-value enterprise features
4. Analysis: The team examines quantitative preference scores alongside qualitative reasoning across both IT and business stakeholders.
5. Optimization: The team refines the pricing page and positioning deck within hours, carrying verified, directional confidence into their final go-to-market plan.

When to choose evidenza

Choose Evidenza when your primary business objective is evaluating B2B sales messaging and value proposition narratives specifically across enterprise buying committees. If your team does not require quantitative trade-off methodologies like MaxDiff, does not need interactive Figma prototype testing, and wants a specialized point tool focused strictly on commercial messaging debates, Evidenza serves that focused marketing use case.

When to choose koji

Choose Koji when your team needs a dedicated, conversational persona tool for exploratory consumer brainstorming and qualitative ideation. If your primary goal is chatting directly with synthetic consumer archetypes to generate creative angles or explore user mindsets, and you do not require structured survey logic, visual stimulus testing, or deterministic quantitative analysis, Koji provides a fluid chat environment.

Why marketing teams select Minds for end-to-end commercial research

Enterprise marketing, product, and consumer insights teams increasingly move away from isolated point solutions in favor of unified research infrastructure. Minds is chosen by organizations that require:

• Comprehensive Methodological Breadth: Running qualitative interviews, Likert scales, choice-based surveys, and MaxDiff experiments within one connected platform.
• Grounded Inference: Leveraging Minds PRISM to combine contextual public sources with permitted internal research inputs for grounded audience simulation.
• Broad Stimulus Testing: Evaluating live digital flows, Figma prototypes where enabled, packaging concepts, video storyboards, and messaging decks in identical workflows.
• Reusable Audience Assets: Creating persistent, segmented target groups of Minds that can be re-engaged across multiple product iterations, quarterly brand studies, and campaign cycles.
• Enterprise-Grade Security: Deploying research workflows within private, governed workspaces configured to meet strict institutional data-handling standards.

Verdict for English buyers

Choosing between Evidenza and Koji comes down to your focus: Evidenza specializes in B2B message simulation, while Koji emphasizes conversational consumer personas. However, modern commercial teams require more than disconnected qualitative point tools. Minds provides an enterprise-ready synthetic research platform that combines qualitative exploration, quantitative methods such as MaxDiff, rich stimulus testing, and robust workspace security. To evaluate how Minds supports your audience testing and positioning workflows, book a research architecture demo at getminds.ai.