Description

A focused course, tailored for you

The UX Researcher's Course on Prioritizing Projects When Roadmap Chaos Hits

Turn fragmented research requests into a data-driven portfolio that delivers impact without sacrificing your career stability.

Stop spending Friday evenings stitching research files together while leadership still questions the value of your insights.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Every quarter you receive a flood of study proposals, ad-hoc stakeholder emails, and legacy spreadsheets that never sync. The lack of a single view forces you to chase missing data, re-run analyses, and defend vague priorities to product leads. When leadership asks for ROI proof, you scramble to assemble evidence from scattered notes, causing delays and visible gaps in your contribution.

Your current tooling, multiple survey tools, separate design files, and a handful of static dashboards, creates friction between insight generation and decision making. The process relies on manual hand-offs, and any mis-alignment triggers re-prioritization meetings that waste weeks of research capacity. If the next portfolio review arrives without a clear, auditable rationale, senior managers may question the value of the research function, threatening your role’s stability.

What you walk away with

Produce a single portfolio dashboard that visualizes research impact across all active projects.
Apply a scoring model that ranks studies by user value, effort, and business alignment.
Generate a decision brief that senior leadership can review in under five minutes.
Build a reusable evidence pack that satisfies quarterly portfolio review requirements.
Establish a cadence for continuous portfolio health checks that reduces ad-hoc requests.

The 12 modules

Module 1. Mapping Stakeholder Objectives

Capture and align business goals with research opportunities.

Module 2. Creating a Unified Research Inventory

Consolidate all active and pending studies into a single source of truth.

Module 3. Defining Impact Metrics

Establish quantitative and qualitative measures for research value.

Module 4. Scoring Framework Design

Build a weighted scoring matrix to rank projects objectively.

Module 5. Data-Driven Prioritization Workshop

Facilitate a stakeholder session that uses the scoring model to decide top-priority studies.

Module 6. Portfolio Dashboard Construction

Create a live visual dashboard that tracks progress and impact.

Module 7. Evidence Pack Assembly

Package findings, metrics, and decision rationales for audit readiness.

Module 8. Communication Playbook

Craft concise briefing decks that translate analytics into executive narratives.

Module 9. Feedback Loop Integration

Embed a continuous improvement loop to refine scoring criteria.

Module 10. Risk & Capacity Planning

Identify resource constraints and mitigate project overruns.

Module 11. Governance Cadence Setup

Establish regular review meetings and reporting rhythms.

Module 12. Scaling the Methodology

Adapt the framework for larger product groups and future research initiatives.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 2 covers Creating a Unified Research Inventory , exactly the chaos you face when study proposals live in separate docs and nobody can see the full backlog.

Module 5 covers Data-Driven Prioritization Workshop , that is precisely the ad-hoc meeting you run when stakeholders cannot agree on which study to fund next.

Module 7 covers Evidence Pack Assembly , the exact step you need when the quarterly review asks for a single source of truth and you scramble for proof.

What you get with this course

A unified research inventory template pre-filled with common fields.
A weighted scoring matrix with example weight sets.
A portfolio dashboard mockup ready for data binding.
A decision brief outline for executive review.
An evidence pack checklist covering metrics, artefacts, and narrative.
A stakeholder alignment worksheet.
A risk and capacity planning register.
A governance cadence calendar with meeting prompts.
A communication playbook guide.
A continuous improvement feedback form.
A scaling guide for multi-team adoption.
A curated list of quick-reference visual icons.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: tailored playbook in hand, research inventory template pre-populated for your environment, scoring matrix ready for immediate use.

Week 1: first version of the portfolio dashboard live with initial study data, decision brief draft shared with product lead.

Month 1: recurring governance cadence established, evidence pack consistently produced for each review, leadership confidence restored.

Before and after

Before

You maintain separate Google Docs, slide decks, and spreadsheet tabs for each study, with evidence scattered across design files and email threads. When the quarterly portfolio review arrives, you waste days stitching together a fragmented story, and leadership frequently asks for missing data, causing you to scramble and appear reactive.

After

All research initiatives live in a single inventory, scored and visualized on a live dashboard. Every review cycle you deliver a concise decision brief and a complete evidence pack, letting you showcase impact in minutes and keep senior stakeholders confident in the research function.

What happens if you do not address this

If you ignore this now, the next portfolio review will again expose gaps, leading senior product leaders to cut research budget. Your role may be flagged as low impact during the upcoming performance cycle, and the team will continue to lose weeks to manual alignment.

Who it is for

A senior UX researcher who works cross-functionally, juggling multiple study requests, stakeholder workshops, and rapid prototype cycles. You own the end-to-end research pipeline, synthesize findings into strategic recommendations, and need a repeatable method to translate insights into portfolio decisions without getting pulled into endless clarification loops.

Who this is NOT for. This is not for someone who needs a beginner introduction to basic UX research methods.

How it arrives

Within 24 hours of purchase your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it. The playbook is hand-built around your specific situation, not LLM-generated boilerplate.

Time investment. 6 hours of focused work spread over two weeks, saving an estimated 30-40 hours of ad-hoc portfolio alignment effort.

Why $199 is the right number

A half-day consultant would charge $2,500-$4,000 for the same scoring model and dashboard setup, a generic analytics certification runs $1,200-$1,800, and building the system yourself typically consumes 60+ hours of scattered effort. At $199 you get a ready-to-use framework plus a custom playbook, delivering immediate ROI.

FAQ

Do I need prior experience with data analytics tools?

No, the course includes step-by-step guidance using common spreadsheet functions and visualisation basics.

Will the templates work with the tools my team already uses?

Yes, the artefacts are format-agnostic and can be imported into any spreadsheet or dashboard platform you prefer.

How much time will I need to allocate each week?

Expect about 2-3 hours of focused work per week to apply the modules to your current backlog.

Is this course suitable for a research team that reports to product rather than design?

Absolutely, the framework is built around aligning research with any product-level objective.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.