Financial Advisor Client Satisfaction Survey
Measures how clients experience their financial advisor relationship — communication cadence, clarity of the financial plan, understanding of fees, and confidence in the guidance received. An AI follow-up digs into the reasoning behind confidence scores so advisory firms can see exactly what builds or erodes trust, not just a number.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
In the last 12 months, how often did your advisor proactively reach out to you (calls, emails, meetings, portfolio updates)?
- Never
- Once
- A few times
- Monthly
- More than monthly
How well does that level of contact match what you actually need?
How much do you agree with each statement about your financial plan?
- The goals in my financial plan are clear to me
- I understand the reasoning behind my current investment allocation
- I know what specific next steps are coming in my plan
How clearly do you understand the fees you pay for your advisor's services?
Which best describes how your advisor's fees have been explained to you?
- Never explained to me
- Explained once, briefly
- Explained in detail, but I still have questions
- Explained clearly and I fully understand what I pay and why
How confident are you that your advisor's guidance is genuinely in your best financial interest?
How likely are you to recommend your advisor to a friend or colleague?
Probe the reasoning behind the respondent's confidence score for their advisor's guidance. If confidence is high, find a specific moment or piece of advice that earned that trust. If confidence is moderate or low, identify what's missing — a lack of transparency, a decision that didn't turn out as expected, or unclear communication — and ask what would need to change to raise it. Anchor on concrete examples rather than general impressions.
Rank these aspects of your advisor relationship from most to least important to you.
- Frequency and quality of communication
- Transparency about fees
- Investment performance
- Personalized, tailored advice
- Responsiveness when I have questions
How likely are you to continue working with this advisor over the next 12 months?
- Very unlikely
- Unlikely
- Unsure
- Likely
- Very likely
How long have you been working with this advisor?
- Less than 1 year
- 1-3 years
- 3-5 years
- More than 5 years
- Prefer not to say
Which range best describes the total assets your advisor manages for you?
- Under $50,000
- $50,000-$250,000
- $250,000-$1,000,000
- Over $1,000,000
- Prefer not to say
That's everything — thank you for your candid feedback! Your responses will be used to identify where our communication, transparency, and guidance can better support clients like you.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- Includes a dedicated AI follow-up interview step that probes the reasoning behind each respondent's confidence score, uncovering *why* trust is built or eroded rather than just a number
- Combines quantitative measures (opinion scales on fee clarity, contact cadence fit, and advisor confidence) with a matrix question on financial-plan agreement and a ranking question on what matters most in the relationship
- Captures firm-relevant segmentation (tenure, assets under management) alongside satisfaction and retention likelihood in one flow
- Every AI follow-up prompt is transparent and responses are auto-scored for quality, then rolled into an auto-generated report — no manual coding of open-ends required
Jotform
Financial Planning Client Assessment Form TemplateThis is a static, form-style client assessment built on Jotform's drag-and-drop builder, oriented toward intake/assessment rather than a structured satisfaction survey with follow-up depth. It's fielding-ready as a form but relies on fixed fields rather than any adaptive questioning logic.
잘하는 점
- Easy drag-and-drop customization and branding within Jotform's builder
- Can integrate with Jotform's broader form ecosystem (e-signatures, payment fields, PDF export)
- Familiar, low-friction form format for clients to fill out
아쉬운 점
- No adaptive AI follow-up — every respondent sees the same static fields regardless of answers
- No mechanism for probing the reasoning behind a satisfaction or confidence score
- No automated per-response quality scoring or AI-generated analysis report
QuestionPro
Client Service Satisfaction Survey TemplateA generic client service satisfaction template rather than one built for the financial advisory relationship specifically, so questions on fee transparency, plan clarity, or fiduciary confidence would need to be added manually. It's a fielding-ready survey template but general-purpose across service industries.
잘하는 점
- Backed by QuestionPro's enterprise analytics and dashboarding features
- Supports multi-channel distribution common to enterprise survey tools
- Established template library with standard satisfaction question types
아쉬운 점
- Not tailored to financial-advisor-specific concerns like fee clarity or fiduciary confidence
- No adaptive AI interview to dig into why a client scored confidence or satisfaction the way they did
- No published methodology on how question logic or scoring works
SurveyMonkey
Customer Satisfaction Survey Template For Financial ServicesA financial-services-specific customer satisfaction template from a well-known survey brand, directly comparable in audience to our advisor survey. It covers general service satisfaction but is built as a static questionnaire rather than one with adaptive, response-driven probing.
잘하는 점
- Financial-services-specific framing, so questions align with the industry context
- Backed by SurveyMonkey's benchmarking and reporting tools
- Quick to deploy using a recognizable, trusted survey platform
아쉬운 점
- No adaptive AI follow-up questions — all respondents get the same fixed question set
- No specific mechanism to explore the reasoning behind a confidence or trust rating
- No automated per-response quality scoring or transparent prompt methodology
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