Nonprofit FundraisingExpert-built kit

Prospect Research Manager

Configures wealth screening parameters, develops scoring rubrics, validates CRM data, and designs automated alert systems.

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Interview content for Prospect Research Manager

28
What to ask. Competency and attitude questions, assigned to the right round.
232
What to listen for. Positive and negative indicators, per question.
7
What the hire must do. Capabilities with expected proficiency at each level.

Look inside: one question, as it appears in the kit

Pick the level you’re hiring. The sample changes with the level you select.

Round 2 · Hiring Manager Technical Deep Dive16 competency questions

Prospect Research Strategy & Operations

Compliance & Data Governance

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

Expected at Prospect Research Manager

Sample competency question

Give an example of when you implemented or managed a compliance audit for your team’s research practices. What did the process look like and how did you address any gaps?

Ask once, as written, then allow silence. A helpful rephrase may hand the candidate the answer.

Positive indicators

  • Defines clear audit scope and methodology
  • Reviews actual data handling practices
  • Implements targeted remediation plans
  • Tracks staff training and certification
  • Establishes ongoing compliance monitoring

Negative indicators

  • Conducts superficial or checklist-only audits
  • Ignores actual data handling practices
  • No remediation plan for identified gaps
  • Lacks training or certification tracking
  • Treats compliance as one-time event

While important, enterprise-level compliance governance is directed at higher levels. Managers execute audits and training, requiring independent proficiency to maintain standards and flag issues.

Ryan Mahoney

Why this role is hard · Ryan Mahoney

Finding the right Prospect Research Manager is tough because you need someone who can translate messy donor data into clear stories without making the development team defensive. Most applicants are strong on either the technical side or the people side, and very few bridge that gap well. You will run into researchers who hide behind dashboards and communicators who skip basic fact checking. The actual test happens when they sit with a major gifts lead and have to listen to real fundraising constraints before suggesting new workflows. Skip that balance and your research unit ends up costing more than it brings in.

Everything in the download, in the order you’ll use it

Level guides for Prospect Research Lead, Prospect Research Manager, Senior Prospect Research Manager and Director of Prospect Research.

Before you post

  • 1Ready-to-use job description
  • 3Video screening prompts
  • 8Resume screening criteria

In the room

  • 16Competency interview questions
  • 12Attitude interview questions
  • 1Hands-on work simulations
  • 1Presentation prompts

At the debrief

  • Progression framework
  • Exceeds / Meets / Below anchors for every exercise
  • 3Interview plan with time per round

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

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

  3. Expected at Prospect Research Manager

    While important, enterprise-level compliance governance is directed at higher levels. Managers execute audits and training, requiring independent proficiency to maintain standards and flag issues.

Interview round: Hiring Manager Technical Deep Dive

Give an example of when you implemented or managed a compliance audit for your team’s research practices. What did the process look like and how did you address any gaps?

Positive indicators

  • Defines clear audit scope and methodology
  • Reviews actual data handling practices
  • Implements targeted remediation plans
  • Tracks staff training and certification
  • Establishes ongoing compliance monitoring

Negative indicators

  • Conducts superficial or checklist-only audits
  • Ignores actual data handling practices
  • No remediation plan for identified gaps
  • Lacks training or certification tracking
  • Treats compliance as one-time event

12 Attitude Questions

1 of 12

Active Listening

Active Listening is the disciplined cognitive and behavioral practice of fully concentrating on, understanding, retaining, and thoughtfully responding to spoken information while simultaneously processing non-verbal cues and underlying emotional subtext. In an organizational setting, it involves suspending premature judgment, asking clarifying questions to uncover latent needs, and reflecting back key insights to ensure alignment before action. For Prospect Research Managers, it serves as the foundational mechanism for translating complex stakeholder inputs, frontline field intelligence, and nuanced donor behaviors into accurate, actionable research frameworks.

Interview round: Recruiter Screen

Describe how you would structure an intake process with a new major gift team to ensure their research requests accurately reflect their cultivation goals.

Positive indicators

  • Asks open-ended discovery questions before scoping research
  • Aligns research deliverables directly to officer timelines
  • Establishes ongoing check-ins to validate request accuracy

Negative indicators

  • Sends a standardized form without contextual dialogue
  • Assumes standard portfolio needs across all officers
  • Sets rigid intake rules that ignore campaign flexibility

Supporting Evaluation

How candidates earn the selection conversation

The goal is to reduce effort for everyone by collecting more useful signals before adding more interviews. Lightweight application prompts and structured screens help your team focus interview 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 designing and implementing scoring models that evaluate philanthropic potential using financial data and behavioral indicators.
Evidence of conducting audits of public data usage, enforcing privacy protocols, and ensuring alignment with regulatory standards.
Evidence of leading portfolio reviews, aligning research outputs with campaign goals, and establishing feedback loops between researchers and fundraising officers.
Evidence of overseeing research staff, managing software contracts, and optimizing tool ROI for departmental operations.

Does the resume show relevant prior work experience?

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?

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

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

Prepare a short deck and walk us through your approach to designing a scalable prospect research service model that integrates wealth screening, engagement mapping, and ethical data governance into frontline fundraising workflows. Discuss how you would negotiate resource allocation, manage cross-departmental pressure for short-term campaign prospects, and establish impact measurement KPIs for the research function.

Format

deck-and-walkthrough · 20 min · ~2 hr prep

Audience

Hiring panel,VP of Development,Data Governance Lead

What to prepare

  • 3-5 slides outlining your service model architecture and key operational principles
  • Notes on how you would balance short-term campaign demands with long-term pipeline development
  • Talking points for stakeholder enablement and KPI tracking

Deliverables

  • A concise deck-and-walkthrough of your operational leadership approach
  • Discussion of resource negotiation and cross-functional alignment strategies

Ground rules

  • Use only work you are permitted to share or construct a hypothetical model based on industry standards
  • Do not build a full GTM or 90-day plan; focus on your strategic approach and tradeoffs
  • Keep the deck to 3-5 slides to ensure time for discussion

Scoring anchors

Exceeds
Delivers a highly integrated, stakeholder-centric service model with clear KPIs, anticipates cross-functional friction, and provides a realistic framework for resource negotiation and ethical governance.
Meets
Outlines a logical service model that addresses campaign vs. pipeline balance, proposes relevant KPIs, and demonstrates awareness of stakeholder enablement needs.
Below
Presents an overly theoretical or internally focused model, lacks concrete KPIs, ignores cross-departmental dynamics, or fails to address resource and scope constraints.

Response time

20 min

Positive indicators

  • Frames the service model around measurable stakeholder outcomes rather than internal process metrics
  • Clearly articulates how to balance immediate campaign needs with sustainable pipeline health
  • Proposes specific, actionable KPIs tied to research impact on fundraising cycles
  • Demonstrates professional boundary-setting when discussing resource constraints and scope management

Negative indicators

  • Presents a rigid, one-size-fits-all workflow that ignores cross-departmental feedback loops
  • Fails to address the tension between short-term campaign pressure and long-term pipeline strategy
  • Proposes vague or vanity metrics instead of outcome-driven KPIs
  • Overlooks ethical governance or data privacy considerations in the service model

Work Simulation Scenario

Scenario. A Regional Campaign Director is launching a time-sensitive initiative and demands immediate access to unvetted prospect lists, threatening to bypass your team's standard validation workflow. You must address their urgency, enforce necessary compliance boundaries, and enable them with a workable alternative that maintains data integrity.

Problem to solve. Negotiate a realistic, compliant research delivery plan that satisfies campaign urgency while protecting workflow standards.

Format

stakeholder-roleplay · 40 min · ~2 hr prep

Success criteria

  • Acknowledge campaign urgency and validate stakeholder pressure before addressing constraints
  • Set clear, firm boundaries around compliance and validation SLAs without being dismissive
  • Translate technical validation requirements into actionable campaign impact language
  • Propose a structured alternative that meets core needs while preserving data governance

What to review beforehand

  • Standard prospect research validation workflows and compliance checkpoints
  • Principles of stakeholder enablement and boundary-setting in cross-functional environments

Ground rules

  • This is a live 1:1 conversation; focus on real-time communication and negotiation
  • You are not expected to produce a written plan; walk through your approach and reasoning
  • The role player will push back realistically but will not escalate to hostility

Roles in scenario

Regional Campaign Director (skeptical_stakeholder, played by cross_functional)

Motivation. Needs rapid prospect identification to hit a 90-day campaign fundraising target and values speed and relationship momentum over procedural compliance.

Constraints

  • Operating under strict board-mandated revenue targets
  • Has limited budget for ad-hoc research support
  • Cannot wait for full due diligence before initial contact

Tensions to introduce

  • Pushes for immediate list exports despite known data gaps
  • Questions the necessity of the current validation SLA
  • Implies that research is creating friction for frontline success

In-character guidance

  • Express urgency and frustration realistically but professionally
  • Acknowledge past compliance issues if the candidate probes
  • Remain open to a phased or alternative delivery model if it addresses core campaign needs

Do not

  • Do not escalate to hostility or personal attacks
  • Do not concede to demands without the candidate demonstrating clear boundary-setting and a viable alternative
  • Do not solve the workflow problem for the candidate
  • Do not withhold information about campaign targets or timeline if asked directly

Scoring anchors

Exceeds
Balances empathy and firm boundaries, co-creates a compliant phased delivery plan that preserves campaign velocity and builds long-term trust.
Meets
Acknowledges urgency, enforces key compliance limits, and offers a workable compromise with clear next steps.
Below
Yields to pressure and compromises data integrity, or rigidly blocks requests without offering strategic alternatives.

Response time

40 min

Positive indicators

  • Acknowledges campaign urgency and validates stakeholder pressure before addressing constraints
  • Sets clear, firm boundaries around compliance and validation SLAs without being dismissive
  • Translates technical validation requirements into actionable campaign impact language
  • Proposes a structured alternative that meets core needs while preserving data governance

Negative indicators

  • Defers to stakeholder demands and bypasses validation protocols under pressure
  • Uses vague or overly technical language that fails to align on next steps
  • Escalates defensiveness or dismisses campaign targets as unreasonable
  • Fails to establish clear ownership or timeline for the alternative delivery plan

Progression Framework

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

Prospect Research Strategy & Operations

7 competencies

CompetencyProspect Research LeadProspect Research ManagerSenior Prospect Research ManagerDirector of Prospect Research
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.