it's not just about prioritizing tasks, but step away from the resource heavy research methods. and be creative when you set up the research plan. 🔆🧠 you can do 80+ guerrilla interview within 2 days, in the street, or in your customer service office. ok, these are small interviews, not deep ones, but you can reach a bigger sample. 👬👭👫 you can run a deep social listening, join in specific groups in social platforms. 👀👂 you can talk with the customer support team, to gain insights. 👩🔧 so just be creatative, small budget offers you a big opporunity to grow, and try out new methodology. 🦾

After facing this issues, I would first focus on identifying the key user needs that directly impact the product's core functionality and user experience. This involves aligning research activities with business objectives, ensuring that we target pain points that have the most significant impact on user satisfaction and product success. I would prioritize tasks based on their potential to uncover critical insights such as user interviews for high-priority features or usability testing on features with the highest user engagement. Additionally, leveraging existing data, such as analytics or feedback from previous research, can provide a foundation for making informed decisions without duplicating efforts.

When working within tight UX research budgets, the key isn't doing less—it's doing smarter. Here's how I prioritize: Define Core Outcomes First,
start by identifying the user and business outcomes your project must achieve. Ask: Which insights will have the most significant impact on product decisions? This clarity will ensure your efforts focus only on high-leverage activities.

When prioritizing UX tasks on a tight budget, you should focus on high-impact activities that address critical user needs and business goals. Also, assess tasks based on their potential impact, complexity and urgency. You can also allocate resources to tasks that: Align with key business objectives, require minimal resources, yield actionable insights and address significant user pain points.