The SurveyMonkey agency.Data you can act on.
SurveyMonkey can run NPS, CSAT and market research, but with no method it just yields leading questions and an export nobody reads. We design surveys around a real question, target the right sample, and hand you the finding and the decision it points to.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
AttioAttio Implementation Partner
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude CodeClaude CoworkClaude Design
Clay
Clickup
Cursor
DeepSeek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Folk Implementation Partner
Freepik Spaces
Gamma
GeminiA SurveyMonkey agency gets you answers, not just responses.
Anyone can buy a seat and drop in questions. Designing a survey that measures the right thing, fielding it to the right people, and reading the results is a different job. Here are the four things we own.
- Survey design
Surveys built to measure the right thing
Most surveys fail before a single response comes in, because the questions are leading, double-barreled, or measure the wrong thing. We design SurveyMonkey surveys around a real research question: the right question types, validated NPS, CSAT and CES scales, balanced answer options, and a flow that respects the respondent. Fewer dropouts, cleaner data, and a survey you can actually defend to your team.
See a typical build - Logic & targeting
Skip logic and the right people answering
A good survey only shows each respondent the questions that apply. We set up skip logic, branching and question piping so the path adapts to each answer, then handle distribution: your own list, email collectors, or the SurveyMonkey Audience panel when you need a representative sample you don't have. Targeting, quotas and screening so the responses come from the people whose opinion actually counts.
See the method - Analysis & results
Responses turned into answers your team can act on
A pile of responses isn't insight. We work the Analyze tab the way it's meant to be used: filters and cross-tabs to compare segments, weighting to correct a skewed sample, benchmarks to see where you stand, and a read on what the numbers mean. You leave with the finding and the decision it points to, not a raw export nobody opens twice.
See the integrations - Integration & ops
Wired into your stack, running without us
Feedback that lives in a silo dies there. We connect SurveyMonkey to where your team works through native integrations and the API, push results to your CRM, Slack or warehouse, and set up recurring NPS or CSAT tracking that runs on a schedule. We're an automation and AI agency first, so the survey program plugs into how your team already operates.
See AI enablement
We design from the decision backwards, not the question forwards.
Most survey projects die the same way: questions written first, fielded to whoever's handy, then an export nobody knows how to read. So we work it backwards: pin down the decision, design the survey to answer it, field it to the right sample with quotas and screening, then analyze with cross-tabs, weighting and benchmarks so the data points somewhere.
- Audit · clarify the research question and who you actually need to hear from
- Design · question types, validated scales, skip logic, a flow that gets finished
- Field · distribute to your list or the Audience panel, with quotas and screening
- Analyze · cross-tabs, weighting, benchmarks, and the decision the data points to
We pick the right tool, not the one we sell.
We don't sell a partner tier, and we don't force every form into SurveyMonkey. We use it where it's strong (validated metrics, the Audience panel, serious analysis) and reach for Typeform or Tally when you want a slick on-brand form instead. You get a survey designed around your decision, with clean methodology and reporting your team owns.
- We start from the decision you need to make, then design the survey backwards from it, so you don't collect data nobody uses.
- Clean methodology by default: non-leading wording, validated NPS/CSAT/CES scales, weighting and screening so the numbers hold up.
- You leave autonomous: the survey, the logic and the reporting live in your account, so your team reruns it without us.
- SurveyMonkey isn't always the answer. For a slick on-brand form or a quick conversational quiz, it's pricier and stiffer than Typeform or Tally, and we'll say so.
SurveyMonkey at the core, a clean research process around it.
We configure the parts that turn a survey into reliable insight, then connect them to how your team already works. Here's what a real project covers.
- Setup
Questionnaire design
We pick the right question types (multiple choice, matrix, ranking, open text), write neutral non-leading wording, and structure the flow so respondents finish instead of dropping out halfway.
- Setup
NPS, CSAT & CES
We set up the validated metrics: Net Promoter Score with the standard 0 to 10 scale and auto-calculation, plus CSAT and CES, so you track loyalty and effort with numbers that compare to a real benchmark.
- Setup
Skip logic & branching
We configure skip logic, question and page branching, and answer piping so each respondent only sees what applies to them, which shortens the survey and lifts completion rates.
- Setup
Audience & sampling
When you need responses you don't have, we run the survey through the SurveyMonkey Audience panel with screening, quotas and targeting, so the sample reflects the market you care about.
- Setup
Analysis & weighting
We use the Analyze tab in full: cross-tabs and filters by segment, response weighting to correct a skewed sample, A/B tested question versions, and benchmarks to read your score in context.
- Setup
Integrations & API
We wire SurveyMonkey to your CRM, Slack, spreadsheets or warehouse via native integrations and the API, and automate recurring NPS or CSAT tracking so the data flows without manual exports.
We pin down your research question, you leave with a plan.
Before quoting anything, we take 60 minutes to figure out the decision behind your survey and who you actually need to hear from. You leave with an honest read on what to ask, who to field it to, and whether SurveyMonkey is even the right tool. Zero pitch, just a researcher's take on your study.
- An honest read on what your survey should measure
- Who to field it to and how to get a clean sample
- The NPS, CSAT or research design worth running
- A frank take on whether SurveyMonkey fits
How we run a SurveyMonkey project.
Five steps, in order. We don't write a single question before the research question is clear, we don't field without a sampling plan, and your team owns the survey at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Research audit
Pin down what you actually need to learn
We start with the decision behind the survey, not the questions. What will you do differently depending on the result? Who has to answer for the data to mean anything? Half the value is here: cutting the questions that feel nice but change nothing, and making sure SurveyMonkey is even the right tool before you build. If a quick on-brand form fits better, we'll point you there.
- Step 2 · Design the survey
Question types, scales and a flow that gets finished
We build the questionnaire: the right mix of multiple choice, matrix, ranking and open text, neutral wording that doesn't lead the answer, and validated NPS, CSAT or CES scales where you need a comparable metric. Skip logic and branching keep it short for each respondent. The goal is a survey people finish and data you can defend, not a 40-question wall that gets abandoned.
- Step 3 · Field it to the right people
Distribution, targeting and a clean sample
A survey is only as good as who answers it. We set up the collectors (email, link, embed), and when you need responses you don't have, we run it through the SurveyMonkey Audience panel with screening and quotas so the sample reflects your market. We watch the early returns for confusing questions and fix them before the bulk of responses lands.
- Step 4 · Analyze the results
Turn responses into a finding, not a spreadsheet
We work the Analyze tab properly: cross-tabs to compare segments, filters to isolate a group, weighting to correct a skewed sample, and benchmarks to read your NPS or CSAT in context. A/B tested question versions tell you which framing was clearer. You get the finding written plainly and the decision it supports, not a CSV export you open once.
- Step 5 · Integrate & hand over
Wire it in, then get out of the way
We connect SurveyMonkey to your CRM, Slack or warehouse through native integrations and the API, and set up recurring NPS or CSAT tracking that runs on a schedule. The survey, the logic and the reporting live in your account, so your team reruns the program without us. If you want us on call for the next study, we talk about that separately.
We're judged on the decisions the data drove.
No partner badge to display, so we lead with what matters: feedback from the teams whose survey programs we designed, and whether the results actually changed what they did. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The survey, logic and reporting live in your account, owned by your team
- Clean methodology so the numbers hold up to scrutiny
- Samples screened and weighted, not whoever happened to answer
- Trustpilot reviews come from the teams we ran studies for
The questions we get asked on repeat.
What does a SurveyMonkey agency actually do?
A SurveyMonkey agency designs the survey, fields it to the right people, and turns the responses into something you can act on, instead of leaving you with a seat and a blank questionnaire. We pick the right question types, write non-leading wording, set up validated NPS, CSAT and CES scales, wire skip logic and branching, target the sample (your list or the SurveyMonkey Audience panel), then work the Analyze tab so you leave with a finding and a decision. The point is clean data that changes what you do, not a survey nobody trusts.How much does a SurveyMonkey project cost?
It depends on scope: a single NPS survey wired into your CRM is nothing like a full market-research study with a representative Audience sample and a weighted analysis. We don't throw out a flat package. We start with a free 60-minute audit to pin down the research question and who you need to hear from, then quote a fixed scope. The SurveyMonkey subscription and any Audience panel responses you pay the vendor directly; we set the plan up so the bill stays predictable.Can you design an NPS or CSAT program, not just one survey?
Yes, and that's usually where the value is. A one-off NPS reading tells you little; tracking it over time tells you whether you're improving. We set up the validated NPS, CSAT or CES question with the standard scale and auto-calculation, define your segments, and automate recurring sends so the score lands on a schedule. Then we read each wave against the last and against a benchmark, so you see the trend and what moved it, not just a number in isolation.What is SurveyMonkey Audience and do we need it?
SurveyMonkey Audience is a panel of millions of respondents you can buy responses from when you don't have a list of your own, with screening, quotas and targeting so the sample reflects the market you care about. You need it for market research, concept testing or benchmarking against people outside your customer base. You don't need it for a customer satisfaction survey going to your own users. We set up targeting and quotas when it fits, and tell you when your own list is enough.Can you set up skip logic and branching for us?
Yes, that's core to a survey people actually finish. We configure skip logic so respondents jump past questions that don't apply, page and question branching so the path adapts to earlier answers, and answer piping so the survey feels personal instead of generic. Done right, each person sees a shorter, relevant survey, which lifts completion rates and keeps your data clean. We test every path before you field it so nobody lands in a dead end.How do you make sure the data is reliable?
Reliability starts at design: non-leading wording, balanced answer options, and validated scales so you're not measuring an artifact of the question. At fielding, we use screening and quotas to get the right respondents, and watch early returns for confusion. At analysis, we apply weighting to correct a skewed sample, use cross-tabs to check that a result holds across segments, and read your score against a benchmark. We'll also tell you when a sample is too small to draw a conclusion.Is SurveyMonkey the right tool for us?
Often, but not always, and we'll be straight about it. SurveyMonkey is strong for rigorous research: validated metrics, the Audience panel, serious analysis and benchmarks. Where it's weaker is slick on-brand forms and conversational, one-question-at-a-time flows; there it's pricier and stiffer than Typeform or Tally, which we use instead for that job. We design the survey around what you need to learn, then pick the tool that fits, rather than forcing every form into one platform.Can you integrate SurveyMonkey with our other tools?
Yes. We connect SurveyMonkey to your CRM, Slack, spreadsheets or data warehouse through its native integrations and the API, so responses flow to where your team already works instead of sitting in an export. For ongoing programs we automate the recurring sends and the data sync, so a new NPS or CSAT wave updates your dashboards without anyone touching a CSV. The setup lives in your account, so it keeps running after we hand it over.
Stop collecting data nobody uses. Run it right.
A 60-minute audit, your research question pinned down, a survey plan with the sampling and analysis baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.