Prospect Research Manager

Ryan Mahoney

Why this role is hard · Ryan Mahoney

Finding the right Prospect Research Lead is tough because the role demands someone who can actually do the work while also training the team and translating data into plain language. You want a person who pays close attention to development staff, shares insights without the usual jargon, and stays genuinely interested in why donors give. That same person has to streamline daily routines and double-check every research method before it reaches your fundraising pipeline. Most applicants are strong at either building donor profiles or handling team logistics, but very few can do both well. You usually end up picking a quick researcher who chokes on management duties or a reliable organizer who slowly drifts away from the actual research.

Core Evaluation

Critical questions for this role

The competency and attitude questions below are where the hiring decision is made. They run in the live interview rounds and are calibrated to the level selected above.

16 Competency Questions

1 of 16

  1. Discipline

    Prospect Research Strategy & Operations

  2. Job requirement

    Compliance & Data Governance

    Follows established compliance checklists, flags potential data misuse, and maintains audit logs.

  3. Expected at Junior

    Zero compliance breaches is a critical success indicator; leads must independently apply established governance protocols to daily research activities.

Interview round: Hiring Manager Research Strategy & Leadership

Recall a project where you identified a potential data privacy or regulatory risk during routine prospect screening and how you addressed it.

Positive indicators

  • Names the specific regulation or policy triggered
  • Isolates risky data immediately
  • Escalates appropriately to compliance experts
  • Documents all steps taken thoroughly
  • Updates screening procedures post-incident

Negative indicators

  • Ignores or downplays the privacy risk
  • Attempts to resolve without compliance consultation
  • Lacks documentation of the incident
  • Continues using questionable data sources
  • No process changes implemented afterward

13 Attitude Questions

1 of 13

Accountability Mindset

A cognitive and behavioral orientation characterized by personal ownership of tasks, decisions, and outcomes; proactive identification and resolution of errors; adherence to high standards of accuracy and integrity; and transparent communication regarding limitations or setbacks without deflection.

Interview round: Recruiter Fit & Experience Screen

Imagine your team misses an SLA deadline due to an internal workflow bottleneck you initially overlooked. How would you handle the communication and corrective steps?

Positive indicators

  • References immediate, transparent stakeholder communication
  • Describes specific bottleneck resolution and workflow adjustment
  • Shows updated capacity planning or triage matrix
  • Maintains SLA integrity moving forward with documented improvements

Negative indicators

  • Delays communication until stakeholders inquire
  • Blames external factors or junior staff for the bottleneck
  • Fails to adjust capacity planning or triage protocols
  • Does not document the incident or update tracking metrics

Supporting Evaluation

How candidates earn the selection conversation

The goal is to reduce effort for everyone by collecting more useful signal before adding more interviews. Lightweight application prompts and structured screens help the panel focus live time on the candidates most likely to succeed.

Stage 1 · Application

Filter at the door

Runs the moment a candidate hits Submit. Disqualifying answers end the application; everything else is captured for review.

Video-Response Questions

1 of 3

Application Screen: Video Response

Describe a time you had to explain a complex prospect scoring model or data governance policy to development staff who lacked an analytical background. How did you structure your message to ensure they understood the rationale and could apply it correctly?

Candidate experience

REC
0:42 / 2:00
1Record
2Review
3Submit

Response time

2 min

Format

Recorded video

Stage 2 · Resume Screening

Read the resume against fixed criteria

Reviewers score every application that clears the door against the same criteria. Stronger reviews advance to live interviews; weaker ones are archived without further screening.

Resume Review Criteria

8 criteria
Evidence of configuring wealth screening parameters, maintaining CRM taxonomy, and executing validation routines to ensure accurate prospect data.
Evidence of managing daily research queues, prioritizing stakeholder requests, and tracking turnaround metrics using triage tools.
Evidence of designing reusable prospect profile templates that highlight capacity, inclination, and engagement signals for frontline staff.
Evidence of facilitating training sessions or coaching junior analysts on research methodologies, financial disclosures, and public records techniques.

Does the resume show relevant prior work experience?

Does the cover letter or personal statement convey clear relevance and familiarity with the job?

Is the resume complete, well-organized, and free from formatting, spelling, and grammar mistakes?

Does the resume indicate required academic credentials, relevant certifications, or necessary training?

Stage 3 · During Interviews

Where the hire is decided

Interview rounds use the competency and attitude questions outlined above, then add tests, work simulations, and presentations that reveal deeper evidence about how the candidate thinks and works.

Presentation Prompt

Walk us through how you would develop and implement a standardized capacity and inclination scoring rubric for a high-volume campaign queue. Discuss how you would balance daily turnaround demands with the need for consistent, validated assessments, and explain how you would communicate the weighting logic to frontline fundraisers. Slides are optional; you can talk through your reasoning and assumptions.

Format

approach-walkthrough · 20 min · ~2 hr prep

Audience

Hiring manager,Senior research analysts,Development operations lead

What to prepare

  • A brief outline of your step-by-step approach
  • Notes on key tradeoffs and assumptions you would make
  • Optional: 2-3 slides if you prefer a visual aid, but talking through your reasoning is perfectly fine

Deliverables

  • A structured verbal walkthrough of your methodology
  • Discussion of stakeholder alignment and communication strategy

Ground rules

  • Focus on your reasoning and process rather than producing a finished rubric
  • You may reference past work or hypothetical scenarios, but do not share confidential donor data
  • Slides are optional; we are evaluating your approach and communication, not presentation design

Scoring anchors

Exceeds
Proactively identifies hidden constraints, proposes a robust validation and communication plan, and demonstrates strong stakeholder empathy while maintaining analytical rigor.
Meets
Provides a logical, stepwise approach to rubric development, addresses the volume vs. quality tradeoff, and outlines clear communication strategies for frontline teams.
Below
Presents a rigid or purely theoretical model without considering operational constraints, struggles to explain weighting logic clearly, or overlooks stakeholder alignment needs.

Response time

20 min

Positive indicators

  • Asks high-information clarifying questions about queue volume and campaign timelines before framing the solution
  • Surfaces assumptions about data availability and stakeholder constraints
  • Articulates a clear, stepwise methodology for rubric development and validation
  • Demonstrates how they would translate technical scoring weights into accessible language for fundraisers

Negative indicators

  • Jumps directly to a solution without scoping the problem or constraints
  • Relies heavily on technical jargon without explaining the rationale to non-analytical audiences
  • Ignores the tension between high-volume turnaround and rubric standardization
  • Fails to outline a feedback or validation loop for the scoring model

Work Simulation Scenario

Scenario. You've just taken over the daily research request queue. Major gift officers report inconsistent turnaround times, and the capacity/inclination scoring rubrics feel disconnected from current campaign needs. You have 20 minutes to walk us through how you would diagnose the root causes, restructure the intake process, and align the scoring model with frontline realities.

Problem to solve. Design an approach to triage requests, standardize rubrics, and establish sustainable SLAs without disrupting active campaigns.

Format

discovery-interview · 20 min · ~0.5 hr prep

Success criteria

  • Identify key bottlenecks through targeted inquiry rather than assumptions
  • Propose a phased intake prioritization framework that balances speed and accuracy
  • Outline how you would validate and adjust scoring rubrics with frontline feedback

What to review beforehand

  • Basic principles of research intake triage and SLA management
  • Common capacity and inclination scoring methodologies in nonprofit prospect research

Ground rules

  • This is a discovery conversation; you are expected to ask clarifying questions before proposing solutions
  • The interviewer will answer only what you directly ask and will not volunteer information
  • Focus on your diagnostic process, tradeoff reasoning, and validation approach rather than drafting documents

Roles in scenario

Senior Development Operations Manager (informed_partner, played by hiring_manager)

Motivation. Wants reliable, actionable research outputs that align with current campaign pacing without overwhelming the research team.

Constraints

  • Cannot share raw donor data during the exercise
  • Must answer only what is directly asked
  • Represents frontline officer feedback but lacks technical CRM architecture details

Tensions to introduce

  • Officers complain about slow turnaround but submit vague, high-volume requests
  • Historical scoring rubrics don't reflect recent shifts in mid-tier donor behavior
  • Campaign deadlines are non-negotiable, but research validation takes 48 hours

In-character guidance

  • Answer honestly and concisely when asked about current volume, tool friction, or officer feedback
  • Provide specific examples of past bottlenecks if probed
  • Acknowledge tradeoffs between speed and data accuracy when questioned

Do not

  • Do not volunteer information about system architecture or compliance rules unless explicitly asked
  • Do not suggest a specific workflow solution or rubric structure
  • Do not coach the candidate toward a preferred prioritization framework
  • Do not resolve ambiguity by making assumptions for the candidate

Scoring anchors

Exceeds
Systematically diagnoses root causes, surfaces hidden constraints, and proposes a validated pilot approach with clear success metrics.
Meets
Asks clarifying questions, identifies key bottlenecks, and proposes reasonable triage adjustments that respect campaign timelines.
Below
Makes unsupported assumptions, jumps to solutions without inquiry, or ignores capacity and data quality tradeoffs.

Response time

20 min

Positive indicators

  • Asks high-information questions about request volume, current triage criteria, and officer pain points
  • Surfaces assumptions about SLA feasibility and rubric relevance before proposing changes
  • Structures diagnostic approach logically, separating intake bottlenecks from scoring misalignment
  • Proposes phased testing or pilot workflows to validate changes without disrupting active campaigns

Negative indicators

  • Guesses at root causes or proposes full workflow redesigns without clarifying current state
  • Freezes under ambiguity or defaults to generic prioritization frameworks
  • Overlooks tradeoffs between campaign urgency and research capacity
  • Fails to ask about tool limitations or historical data constraints

Progression Framework

This table shows how competencies evolve across experience levels. Each cell shows competency at that level.

Prospect Research Strategy & Operations

7 competencies

CompetencyJuniorMidSeniorPrincipal
Compliance & Data Governance

Follows established compliance checklists, flags potential data misuse, and maintains audit logs.

Develops compliance training materials, conducts periodic audits, and implements data retention policies.

Designs governance frameworks, advises on regulatory changes, and integrates privacy-by-design into research workflows.

Sets institutional compliance strategy, manages vendor risk assessments, and ensures enterprise-wide adherence to ethical data practices.

CRM & Database Management

Inputs and updates prospect records, runs standard queries, and resolves basic data discrepancies.

Manages CRM configurations, designs custom fields/reports, and establishes data entry standards.

Architects CRM integrations, optimizes data architecture, and drives system-wide adoption of research tools.

Governs CRM roadmap, evaluates vendor partnerships, and ensures system scalability supports enterprise fundraising operations.

Data Sourcing & Analytics

Executes targeted data collection and applies basic analytical techniques to populate prospect profiles.

Designs data gathering protocols, oversees analytical workflows, and ensures consistency across research outputs.

Leads advanced data modeling initiatives, integrates multi-source datasets, and mentors teams on analytical best practices.

Defines enterprise data strategy, oversees predictive analytics adoption, and aligns sourcing methodologies with long-term fundraising goals.

Research Methodology & Validation

Conducts standardized prospect screenings and cross-references information against reliable sources.

Develops research playbooks, implements validation checkpoints, and reviews complex profiles for accuracy.

Innovates research methodologies, incorporates alternative data streams, and establishes quality benchmarks for validation.

Sets institutional research standards, evaluates emerging validation technologies, and ensures methodological rigor aligns with strategic objectives.

Stakeholder Enablement & Reporting

Drafts standard prospect briefs, supports staff queries, and tracks basic engagement metrics.

Customizes intelligence reports for different stakeholder levels, conducts training sessions, and monitors brief utilization.

Develops advanced storytelling frameworks, integrates feedback loops, and correlates research outputs with fundraising outcomes.

Champions data-driven fundraising culture, presents strategic insights to executive leadership, and optimizes intelligence delivery at scale.

Strategic Planning & Innovation

Monitors industry updates, assists in pilot testing new research tools, and documents best practices.

Evaluates tool efficacy, proposes process improvements, and supports strategic planning initiatives.

Leads innovation pilots, assesses ROI of new technologies, and integrates forward-looking insights into operational planning.

Drives enterprise research vision, secures funding for strategic initiatives, and shapes industry thought leadership.

Workflow Optimization & Portfolio Alignment

Manages assigned research queues, prioritizes daily tasks, and adheres to established turnaround times.

Maps end-to-end research workflows, identifies bottlenecks, and balances team workloads against portfolio demands.

Implements process automation, redesigns portfolio assignment models, and drives cross-departmental workflow alignment.

Oversees operational scaling, establishes KPI frameworks for research efficiency, and aligns portfolio strategy with institutional capacity.