The Role of Technology in Evaluation : Trinity P3 “Managing Marketing Podcast” with Richard and Darren
Richard Benyon, CEO of the new SaaS start-up, Alliansis who joins the Managing Marketing Podcast this week
Strategic Relationship Evaluation Made Easy – Alliansis
Strengthen your high-value B2B relationships with fast, survey-based performance evaluations. No setup hassles, no steep learning curve. Start optimizing key partnerships in under 3 minutes.
Alliansis is designed specifically for your high-value B2B relationships, where reliable marketing agency, consulting firm or IT supplier performance is essential but challenging to measure.
Sick of generic survey tools that are painful to set-up, require hours of manual reporting, and provide limited insights? Or enterprise SRM applications that are bloated, time-consuming to implement, and overly complex?
Alliansis is the perfect solution that provides a streamlined, easy to use tool. And provides actionable, AI-generated insights, helping you avoid costly surprises and keep your projects on track.
Build your evaluation in under 3 minutes. Describe the project or relationship, set the survey dates, choose the questions, and add participant emails.
Stakeholders are automatically invited to indicate their satisfaction, rate performance, and share comments. All providing actionable feedback!
AI agent analyzes responses instantly, highlighting strengths and areas for improvement. Drive better outcomes with insights you can trust.
If you’re managing high-stakes B2B relationships and want a clear view of how your critical strategic engagements are performing, Alliansis is for you.
You could be working client-side in procurement, SRM, project management, vendor management, agency management or operations.
Or you could be in supplier-side account management, client satisfaction, project management.
For both sides of the business partnership, our platform helps you build more collaborative and productive high-value service relationships.
Don't get blindsided! Identify potential issues early with easy-to-read, AI-generated feedback.
All insights are presented clearly, making it easy to improve relationships and enhance project performance.
Tailored for the fast pace of high-value business relationships, our surveys cut through the noise and give you the clarity to move forward with confidence.
Foster a culture of continuous improvement by using feedback to open constructive dialogue with suppliers, leading to stronger, more collaborative partnerships.
It is super-simple to get started – free trial
Best practice advice around strategic relationship evaluations to improve engagement performance.
Richard Benyon, CEO of the new SaaS start-up, Alliansis who joins the Managing Marketing Podcast this week
Boosting survey response rates requires careful planning. Keep questionnaires concise and ensure they’re mobile-friendly to accommodate busy respondents. Provide clear communication about the survey’s purpose, deadlines, and confidentiality, helping build trust. Lastly, thoughtfully choose nominees, selecting those with sufficient project involvement. Implementing these strategies can significantly enhance the quality and quantity of feedback, leading to more informed improvements.
Strategic relationship evaluations are integral to performance optimization. However, assessments are merely starting points; the focus should be on action plans. Meetings should facilitate data-driven discussions, recognize achievements, uncover issues, and improve strategic partner performance. Concrete, achievable, time-bound action plans involving both client and strategic partner are essential. Resource management, risk identification, and success celebration are critical components. Implementing such plans post-evaluation fosters mutual growth, efficient relationships, and innovation.
Analyzing qualitative feedback from supplier relationship surveys is both an art and a science, but traditional methods often fall short due to human limitations. From volume overload to unconscious biases, manual analysis can miss critical patterns or misinterpret nuanced language. Large Language Models (LLMs), like GPT, revolutionize this process by ensuring consistent categorization, mitigating biases, and scaling effortlessly to handle thousands of comments. Explore the top challenges of human-driven analysis, uncovers five common biases that distort results, and demonstrates how LLMs provide efficient, objective, and actionable insights. Learn how AI can streamline supplier feedback evaluation, driving stronger partnerships through data-driven decision-making.