Most teams already collect feedback. What they lack is a system that sends the right survey at the right moment, writes the answer back to the right Salesforce record, and puts a detractor in front of an owner before the renewal conversation starts. Twopir Consulting designs, implements, integrates and supports that system. Surveys, forms, response mapping and closed-loop follow-up on one architecture.
Trusted by 500+ organizations — we work with growing, mid-market, and enterprise organizations that need help with complex CRM implementations, integrations, and business system challenges.
Built for Survey & Feedback Operations
Almost nobody fails at writing the survey. Programs fail at the joins — between the moment that should trigger a send, the record the answer belongs to, and the person who is supposed to act on it. Feedback you cannot route is just a report.
Scores and verbatims sit in survey reports while the account team works in Salesforce. Nobody opening a record can see what the customer last told you, so the context is lost exactly where it would have changed the conversation.
The moments worth measuring — a case closed, a deal won, an onboarding milestone reached — pass before someone remembers to export a list and send a batch. Response rates fall because the experience is no longer fresh.
An open collector link tells you the score but not the customer, the account, the renewal date or the owner. Without identifiers carried into the response, the data cannot be segmented, trended or acted on.
A low score lands in a dashboard instead of a queue. There is no task, no case, no escalation rule and no service level — so the one customer who told you they were leaving gets the same follow-up as the one who did not.
Registration, application, consent and request forms are exported to CSV and pasted in later. Every hop adds a transcription error, and the record is stale between collection and entry — which is where duplicates come from.
Teams spin up overlapping surveys, brand drifts, personal data gets collected without controls, and the same customer is surveyed three times in a quarter. At scale this becomes a compliance and reputation problem, not just an untidy one.
SurveyMonkey is a survey, online form and feedback management platform. Teams use it to design surveys and forms, distribute them by email, web embed, link or QR code, and analyse the responses — with an AppExchange application that connects the platform to Salesforce so responses can be written onto CRM records. It is a data-collection and experience-measurement platform. It is not a document generation or contract automation tool, and it does not merge Salesforce records into PDFs or agreements; that work belongs to a document generation product, and we will say so if that turns out to be what you actually need.
In a Salesforce stack, SurveyMonkey usually sits at the edges of processes the CRM already owns. Service closes a case and asks how it went. Sales wins an opportunity and asks what nearly stopped it. Operations collects a registration, application or consent form and needs it to arrive as a record rather than a spreadsheet row. Marketing runs a market-research study and needs the segments to match the ones the CRM reports on. The value is not the survey — it is the join back to the record.
So the three things worth keeping separate: SurveyMonkey collects and measures. Salesforce holds the record and runs the process. Twopir Consulting designs and builds the architecture between them — the triggers, the field mapping, the matching logic, the follow-up routing, the reporting and the governance. Most programs that disappoint have a good survey and no architecture. Vendor capability detail is documented in the SurveyMonkey for Salesforce documentation.
These are three different pieces of work with three different price shapes, and buyers arrive needing exactly one of them. Knowing which one you are in is the fastest way to a useful first conversation.
A first-time rollout. You have bought SurveyMonkey, or are about to, and need it standing up properly rather than switched on and left to drift.
You already own it and it half works. Surveys exist, the connection exists, but the data is not usable and nobody trusts the numbers. This is the most common engagement we take.
The packaged application does not reach far enough. This is engineering work — and we will tell you plainly when a requirement crosses that line, because the cost and the maintenance profile change with it.
Where configuration ends and development begins. Anything the packaged application can express — mapping a question to a field, relating a response to a Contact or Case, triggering a send from a Flow, building a report — is configuration, and configuration survives vendor upgrades. The moment you need a response to fan out across several custom objects, to reconcile against a system Salesforce does not talk to, or to be transformed before it lands, you are building software, and that code becomes yours to maintain. Most requirements sit on the configuration side. We design toward that side deliberately, and we say which side you are on before the work starts, not after.
Every capability below is one we configure, integrate or extend on live client systems — described as the work it does in your business, not as a feature list.
Instruments that people finish and that produce data you can act on — which is a design problem before it is a tooling one.
The decision that determines whether the whole programme works: where the answers land, and what they attach to.
Surveys that fire from what happens in the CRM, so the ask arrives while the experience is still recent.
The part most programmes skip. A score with no owner changes nothing; a score that creates work changes retention.
Feedback reported next to the commercial data it explains — because NPS beside renewal rate is an argument, and NPS alone is a number.
What keeps a programme usable once more than one team is running surveys in it.
An integration is a set of decisions about direction, identity and timing. These are the flows we design most often, and what each one is actually for.
Record events start the send. A closed Case, a won Opportunity or a completed onboarding step triggers a Flow that launches the right survey to the right contact, carrying the record identifiers with it.
Responses sync back onto CRM records, related to the Contact, Account, Case or Opportunity they came from — so the answer is visible where the work happens, not in a separate reporting tool.
The AppExchange package adds its own survey response objects to your org and writes answers into them. Fastest route to live data, and the right default when the reporting need is feedback-shaped.
Answers written into your own standard or custom objects instead. More configuration effort, far more control — the right choice when feedback has to sit inside an existing data model you already report on.
Direct API work for what the package does not cover: bulk response retrieval, programmatic survey creation, and pushing feedback into a warehouse or BI layer alongside other customer data.
Registration, application and request forms embedded on your site, with submissions creating or updating Leads and Contacts directly — replacing the CSV export and the re-keying that follows it.
Event fees, donations and application charges collected on the form itself through Stripe or PayPal, with the paid record landing in the CRM rather than being reconciled by hand afterwards.
Response events pushed into the channels teams already watch — Slack, email and HubSpot among them — so a detractor reaches a human in minutes instead of surfacing in next month's review.
Each row is a pattern we have configured before: the trigger that starts it, what the instrument does, and where the result lands in Salesforce.
| Use case | What it does | Where it lands in Salesforce |
|---|---|---|
| Post-support CSAT | Fires when a Case is closed and asks about the resolution while it is still fresh. | Response related to the Case and Contact; low scores create a follow-up task for the case owner. |
| Relationship NPS | Runs on a fixed cycle across the customer base, with frequency capping so nobody is asked twice. | Score and verbatim on the Account, trended by segment and owner on an executive dashboard. |
| Win/loss research | Asks buyers what decided it, shortly after the Opportunity closes either way. | Response on the Opportunity, reportable against stage, competitor and deal size. |
| Client onboarding check-ins | Staged surveys at defined onboarding milestones to catch problems during the window they can still be fixed. | Responses on the Account with escalation to the onboarding owner on a low score. |
| Event & webinar registration | A registration form with conditional logic, optional payment, and a custom confirmation or redirect. | Registrant created or matched as a Lead or Contact, with campaign membership set. |
| Property & client enquiry forms | Structured intake for real estate and professional-services enquiries, embedded on the site or shared by QR code. | Lead created with source and routing fields populated, ready for assignment rules. |
| Applications & consent capture | Multi-step application or consent forms with file upload, replacing emailed documents. | Record created against the applicant with submitted files attached to it. |
| Employee experience | Engagement, onboarding and exit surveys run under tighter access controls than customer programmes. | Reported separately from customer feedback, with permissions restricting who can see responses. |
| Renewal risk signals | A short pulse ahead of a renewal date, timed off the CRM rather than a calendar. | Risk flag on the Account or Opportunity feeding the renewal pipeline review. |
| Market research | Studies run with segments defined to match the ones the business already reports on. | Aggregate reporting aligned to CRM segmentation, so findings can be acted on by the same teams. |
Six phases, one continuous engagement. A straightforward programme on a healthy Salesforce org is typically a matter of weeks; a multi-team rollout with custom mapping and migration runs longer. We scope it after the assessment, not before.
We establish what you are trying to learn and what you will do differently when you know it — then look at what already exists: surveys in flight, collectors, mappings, org health, data quality. Skipping this is why programmes get rebuilt twice.
The design decisions that are expensive to reverse: which objects hold responses, how a response is matched to a record, what triggers a send, who can see what. We document this and agree it before anything is configured.
Account, division and permission structure set up, then the surveys and forms themselves — question design, conditional logic, branding, accessibility. A well-architected programme still fails if the instrument is too long or asks the wrong thing.
Package installed and connected, field mappings built, Flows written for triggered sends, follow-up routing and escalation configured, and any custom development delivered. This is where the architecture becomes a working system.
End-to-end testing in a sandbox with real record shapes — including the awkward cases: missing emails, duplicate contacts, partial submissions. Then we train the people who will run it, because an unowned programme decays within two quarters.
A controlled go-live, then the part that determines whether it was worth doing: watching response rates, tuning timing and question design, extending to new teams, and adjusting as your Salesforce org changes underneath it.
These are the outcomes a well-designed implementation is built to produce. What any individual organization achieves depends on its data quality, process discipline and adoption — so we measure against a baseline we take with you at the start rather than a number quoted on a web page.
Sending, exporting, re-keying and chasing stop being someone's recurring job, because the trigger, the sync and the follow-up all run on their own.
Responses arrive already attached to the right record with the right identifiers, which removes the transcription errors and duplicates that manual entry produces.
A detractor becomes a task with an owner and a clock instead of a line in a monthly report — which is the difference between a save and a post-mortem.
Experience metrics reported beside pipeline, renewals and service performance, so the conversation moves from "what is our score" to "what is it costing us".
When the CRM record shows what the customer last said, people go to the CRM to find out. Adoption follows usefulness rather than training mandates.
Adding a team, a region or a new survey type becomes configuration inside an existing model rather than a fresh project with its own mappings and its own reporting.
One branded, permissioned way to collect, instead of every team building its own survey with its own fields — which is what makes results comparable across the business.
Shorter, better-timed, better-targeted asks — and frequency rules that stop the same customer being surveyed three times in a quarter, which is what drives response rates down.
SurveyMonkey work sits inside our wider Salesforce integration practice — the same mapping, automation and reporting discipline, applied to a different data source. These are published engagements from that practice, so you can judge the approach rather than take our word for it.
Rebuilding lead capture, routing and pipeline reporting on Salesforce — the same capture-to-record problem a survey and forms programme has to solve.
Read the sales operations case studySeveral third-party systems brought into one Salesforce process with clean data flow between them — the multi-system integration pattern behind custom SurveyMonkey work.
Read the CPQ integration case studyOur own reference on running feedback programmes inside Salesforce — the options, the trade-offs and where each approach stops being the right one.
Read the guide to surveys in SalesforceMore engagements are published in Twopir Consulting's success stories.
Most SurveyMonkey problems are Salesforce problems wearing a different hat: matching logic, object design, automation, permissions. That is the work we do every day.
A survey specialist can build you a better questionnaire. The reason feedback fails to land is almost always object design, record matching or automation — which is a Salesforce discipline, and it is ours.
SurveyMonkey is excellent at collecting and measuring. It is not a document generation engine, and it is not always the best fit against Salesforce Feedback Management or a form-first tool. We will say which one your requirement actually points at.
SurveyMonkey, GetFeedback, Formstack, FormAssembly, 123FormBuilder, Jotform, native Salesforce surveys. That range means the recommendation is based on your architecture rather than the one product we happen to know.
Missing emails, duplicate contacts, people who exist as both a Lead and a Contact, partial submissions. Matching rules that ignore these look fine in a sandbox and produce orphaned responses in production.
Response rates drift, org changes break mappings, and new teams want in. We support and optimize the programme afterwards, because a feedback system that nobody tends stops being trusted within a couple of quarters.
A SurveyMonkey consultant designs the programme around it, not just the surveys. That means defining what the organization needs to learn, designing the surveys and forms, configuring the account and its permissions, integrating SurveyMonkey with Salesforce so responses land on the right records, automating when surveys are sent and what happens to the answers, building the reporting, and training the team that will run it. The survey tool is straightforward to use; the architecture that makes its output usable is the consulting work.
Through an application on the Salesforce AppExchange, which SurveyMonkey makes available to its Enterprise and CX customers. Once connected, surveys can be triggered from Salesforce records using Flow, and responses sync back and are related to records such as Leads, Contacts, Accounts, Opportunities and Cases. Responses can be written either into the objects the managed package adds to your org, or into your own standard and custom objects through custom mapping. Where the packaged application does not reach far enough, the SurveyMonkey API can be used to build a custom integration.
Use the managed package when feedback is its own reporting domain and you want to be live quickly — it adds its own survey response objects and requires far less configuration. Choose custom mapping when the responses have to live inside a data model you already report on, when other automation needs to read them as native fields, or when your reporting cannot tolerate a separate object structure. Custom mapping costs more effort up front and gives you more control. This is a decision worth making deliberately at architecture stage, because migrating responses from one approach to the other later is genuinely painful.
No. SurveyMonkey is a survey, form and feedback platform — it collects and analyses data. It does not merge Salesforce records into templates to produce contracts, proposals, quotes or agreements. If that is what you need, the right tools are document generation products such as Conga, Nintex DocGen or PandaDoc, and we implement those as well. The two are often confused because both involve structured data and Salesforce automation, but they solve opposite halves of the problem: one gathers information, the other produces documents from it.
A single programme — one survey, triggered from Salesforce, mapped to the managed package objects, with dashboards — is usually a matter of weeks. What extends it is rarely the survey: it is custom object mapping, poor data quality that makes record matching unreliable, multiple teams with conflicting requirements, migration from an existing tool, or custom development beyond the packaged application. We give you a scoped timeline after the current-state assessment, because a number quoted before anyone has looked at your org is a guess.
Usually, yes — and this is where most of our engagements start. The common faults are repairable in place: responses arriving unrelated to any record because identifiers were never passed into the collector, mappings pointing at the wrong fields or silently failing on data types, sends running manually instead of from a Flow, and no follow-up routing at all. We audit what exists, fix the mapping and matching layer, and rebuild the reporting on the corrected data. A full rebuild is only warranted when the underlying object design cannot support what you now need.
Ongoing SurveyMonkey support covers the things that drift: response rates falling, question design that needs tuning, Salesforce org changes breaking existing mappings, new teams or regions being added, and reporting that has to evolve as the business does. We work either on a retainer or on defined optimization engagements. The reason it matters is simple — a feedback programme with no owner loses credibility quietly, and once leadership stops trusting the number, the whole investment stops returning.
Bring us the programme you are trying to run — or the one that is not working. We will walk through the architecture it needs, tell you which parts are configuration and which are development, and be straight with you if SurveyMonkey is not the right tool for it.
Speak with a team that knows both the survey platform & the Salesforce architecture
