Recruitment

Marketing Panel and Public Recruitment

Creating Marketing Campaigns

The marketing panel system enables research teams to create compelling participant-facing materials that effectively communicate research opportunities while attracting qualified participants who align with study objectives. These marketing materials serve as the primary touchpoint for participant discovery and initial engagement.

Project Detail Configuration involves crafting participant-facing project names, descriptions, and categorization tags that help potential participants understand research focus and determine their interest level. These elements significantly impact discovery rates and participant quality.

Effective project descriptions balance transparency about research activities with appropriate confidentiality about proprietary information or sensitive research objectives. Clear, engaging descriptions attract qualified participants while setting appropriate expectations about research requirements and time commitments.

Tag-Based Discovery enables participants to find research opportunities that align with their interests and expertise through categorization systems that highlight research topics, industries, technologies, or other relevant themes. Strategic tag selection improves discoverability among appropriate participant populations.

The tagging system supports both broad categories that enable general discovery and specific tags that target niche audiences with particular expertise or experience. This flexibility supports various research approaches from general consumer research to specialized technical studies.

Visual Identity and Engagement

Image Selection and Management provides multiple approaches for creating compelling visual materials that represent research opportunities effectively. Visual elements significantly impact participant engagement and help differentiate research opportunities in competitive environments.

AI-Generated Images offer rapid creation of professional, relevant visual materials based on project descriptions and objectives. This automated approach produces multiple creative options that align with research themes while requiring minimal time investment from research teams.

The AI generation system creates images that reflect research themes and objectives while maintaining professional appearance standards that enhance credibility and participant trust. This approach particularly benefits research teams that need high-quality visual materials without extensive graphic design resources.

Stock Image Integration provides access to professional photography through integrated search capabilities that enable research teams to find images that align with research themes, target audiences, or specific visual requirements. This approach offers more control over visual selection while maintaining efficiency.

Stock image integration supports specific visual requirements while providing professional quality that enhances marketing effectiveness and participant trust. The search capabilities enable research teams to find images that precisely match their visual identity needs.

Custom Image Upload enables research teams to use proprietary images, branded materials, or specific visual content that aligns with organizational identity or research requirements. This approach provides complete control over visual representation while supporting branded research initiatives.

Custom image capabilities particularly support research that requires specific visual elements, branded consistency, or proprietary content that represents organizational identity or specific research contexts accurately.

Timeline and Compensation Communication

Expected Timeline Management provides transparent communication about research duration, time commitment requirements, and scheduling expectations that help participants evaluate their availability and interest level. Clear timeline communication reduces attrition and improves participant satisfaction.

Timeline information includes estimated start dates, maximum time commitment expectations, and general scheduling requirements that enable participants to assess compatibility with their availability and interest levels. This transparency supports informed participation decisions.

Compensation Structure Communication enables research teams to communicate expected participant compensation clearly and accurately, supporting participant decision-making while ensuring compliance with organizational policies and platform requirements.

Compensation communication requires accuracy and transparency to maintain participant trust and platform compliance. The system includes verification processes that ensure compensation promises align with actual payment capabilities and organizational policies.

Effective compensation communication balances participant attraction with realistic expectations, supporting sustainable recruitment practices that maintain participant satisfaction and platform reputation.