Survey Insights Faster
Surveys Agent makes "what surveys do I need to take?" and "where is response lagging?" chat queries instead of dashboard hunts. Nine tools across pending surveys, submission history, survey analytics, completion rates, and non-responder reminders. One write — send_survey_reminder — confirmation-gated.
Why Survey Response Rates Disappoint
Surveys Agent attacks the four specific failures that turn engagement surveys into "we sent it, we got 40%, we drew conclusions from the people who already cared."
Employees Don't Remember Which Surveys Are Pending
The launch email arrives, gets buried under 80 other emails, and the survey sits unfinished. A week later there's no central "what's open and due from me?" view — the survey is gone until the reminder lands, by which point the launch energy is gone too.
Survey Owners Can't See Response Lag Until It's Too Late
Day 7 of a 10-day survey window. The owner thinks completion is at 65%. It's actually at 42% and lagging in one department. Without a real-time response-status view, the lag becomes a problem only when the final completion number disappoints.
Non-Responders Look Like A Wall, Not A Pattern
"98 people haven't responded" is unhelpful. "48 are in Field Service and the survey link hasn't worked on the mobile app for them" is actionable. Without a non-responder breakdown by department, you can't tell whether you have an apathy problem or a distribution problem.
Sending A Reminder Feels Risky Without Guardrails
Reminders are blunt — too aggressive and they hurt the next survey's response; too soft and they get ignored. Sending one shouldn't require a meeting, but it also shouldn't be a one-click "blast everyone" trap. The gated send pattern is exactly the right middle.
Survey Fatigue Hits Before Anybody Notices
Engagement, pulse, training, manager effectiveness, exit, NPS — six surveys in eight weeks for the same employees. Response rates trend down and nobody connects the dots because each survey is owned by a different team. Without a "how many surveys has this cohort received in the last 90 days?" view, fatigue stays invisible.
Anonymous Surveys Get Demanded To Be De-Anonymized After The Fact
The leadership team reads the responses and wants to know "who said this?" An anonymous survey is anonymous or it isn't. Without a clear "this dataset cannot be filtered to individuals" surfacing at the moment leadership asks, the integrity of every future anonymous survey is on the line.
Surveys Agent At A Glance
Surveys AI
Pending surveys, analytics, non-responders, gated reminders.
Inside Surveys Agent — The Actual Capabilities
Every block below maps to a real tool the agent uses against your Surveys data. Eight read tools — discovery, pending lists, history, analytics, response status, non-responder lists. One write — send_survey_reminder — confirmation-gated and anonymity-preserving.
Find My Pending Surveys — And What I've Already Submitted
Employees ask "what surveys are pending for me?" or "what did I submit recently?" The agent surfaces the user's open surveys with due dates and the recently-submitted history — so the launch-email-then-buried pattern stops being the only way to discover open surveys.
- get_my_pending_surveys — surveys assigned to the user that are still open.
- get_my_submitted_surveys — recently submitted, configurable limit.
- list_surveys + get_survey_details — discover by status (active / closed / draft) and pull details before taking it.
- Anonymity surfaced upfront — agent shows the survey's anonymity setting before the user opens it.
Live Survey Analytics — Completion Rate, Open Status
Survey owners ask "where is completion?" and "is this still open?" The agent surfaces the live response status — counts, completion rate, open vs. closed — and full analytics for surveys the user is authorized to see.
- get_survey_analytics — completion rates and analytics for a specific survey.
- get_survey_response_status — response counts, completion rate, and open vs. closed.
- get_survey_responses — response detail for authorized viewers.
- Authorization-gated — analytics only return to users authorized to see that survey's results.
Non-Responder Breakdown — Pattern, Not A Wall
The agent surfaces who hasn't responded — with the visibility scoped to authorized owners only. The list is actionable: department, days since invite, last activity — enough signal to distinguish "needs a nudge" from "needs the distribution checked."
- list_non_responders — users who have not responded to a specific survey (authorization required).
- Configurable limit — default 25, expand when you need the full list.
- Authorization-gated — only returned to authorized survey owners.
- Department signal — combined with analytics, the lag pattern becomes spottable.
Send Reminders — Confirmation-Gated, Anonymity-Preserving
Owners ask "send reminders to non-responders" — the agent confirms recipient count, channel, cadence, and anonymity guarantees, then waits for explicit confirmation before anything is sent. The "one-click blast" trap is replaced with a deliberate gate.
- send_survey_reminder — risky write. Sends reminders to non-responders; requires explicit confirmation.
- Recipient count surfaced — the owner sees how many notifications will go out before confirming.
- Anonymity preserved — for anonymous surveys, the owner never sees the individual recipient list.
- Quiet hours respected — reminders follow the org's notification settings.
Outcomes Teams Can Measure
The agent's job is to lift completion rates and give owners the response-lag visibility they need to act in time. Measure against your pre-agent baseline.
- Completion rate — share of invited users who submitted, by survey and trend over time.
- Time-to-respond — median hours from invite to submission — the launch-energy decay signal.
- Department response variance — gap between highest- and lowest-responding departments.
- Reminder lift — incremental responses captured per reminder cycle vs. pre-reminder rate.
- Survey-discovery via agent — share of submissions that originated from a "what's pending for me?" agent query, not the launch email.
One Risky Write, Confirmation-Gated
Surveys Agent has 9 tools. Eight are read-only. The single write — send_survey_reminder — requires explicit confirmation before reminders go out, with the recipient count and channels surfaced upfront. The agent never sends reminders silently, never bypasses anonymity, and never returns analytics outside authorization.
- 1 risky write tool — send_survey_reminder — requires explicit confirmation.
- Anonymity preserved end-to-end — for anonymous surveys, owners never see individual non-responder identities.
- Authorization-gated analytics — get_survey_responses and list_non_responders require survey-level authorization.
- Audit trail on every action — read or write, every tool call logs the requesting user, the tool used, and the parameters.
WHAT TEAMS TRY INSTEAD
The four alternatives — and none of them know your roster, your anonymity rules, or your audit needs
Survey programs usually run on a dedicated vendor and live outside the employee experience. None of the alternatives keep anonymity intact end-to-end while still letting owners nudge non-responders — and none can answer "who's pending the all-hands pulse" in chat.
ChatGPT, Claude, or Copilot summarizing pasted exports
Generic AI on dumped CSVs
- Surveys Agent reads live response rates and current non-responder lists — generic AI sees Monday-morning export
- Pasting verbatim comments into ChatGPT can leak anonymity; the agent keeps responses inside the tenant boundary
- The send_survey_reminder action runs from chat with confirmation — generic AI can summarize but can't act
Culture Amp Lumi AI, SurveyMonkey GenAI, Qualtrics XM Discover
Vendor survey-AI — separate roster, separate audit, separate seat fee
- Reads HRIS roster directly; vendor SaaS imports a stale snapshot that drifts every payroll cycle
- Anonymous-survey owners get non-responder counts without identities — vendor tools too often expose the wrong field
- One audit trail; survey SaaS forces a parallel SSO/entitlement sync that breaks the day someone changes department
Custom survey platform + RAG layer on results
A people-analytics build, then maintenance for every new question type
- Already shipped — survey lifecycle, anonymity model, authorization tiers, audit log, and reminder workflow in place
- Non-responder triage and reminders sit in the same UI as the surveys themselves — no separate analytics console
- Engineering doesn't own a brittle "anonymity scrubber" everyone hopes still works after the last schema migration
"Email survey owners for response rates"
The status quo — owners chasing managers chasing employees
- "Where is response lagging?" answered in seconds — not an inbox round-trip with the people team
- Reminders sent from chat (with confirmation) — no exporting non-responder lists into BCC fields
- Submission history visible to the employee — fewer "did I take the engagement survey already?" tickets
PLATFORM LEVERAGE
Surveys Agent inherits everything the platform already runs
A standalone survey tool has to plumb each of these. Surveys Agent gets them for free.
Anonymity preserved end-to-end
For anonymous surveys, the agent never returns individual non-responder identities to owners — only counts and segments.
Survey-level authorization
get_survey_responses and list_non_responders require explicit authorization on the survey — not just a logged-in user.
HRIS roster as ground truth
Reminder targeting uses the live employee roster — new hires get the pulse, leavers don't get reminded.
Confirmation-gated reminders
send_survey_reminder is RISKY — explicit confirmation required before a notification fan-out goes to non-responders.
AiApiLog audit trail
Every read and the one write log to AiApiLog with the same retention and eDiscovery posture as the rest of the platform.
RubyLLM model tiering
Lookups run on nano/small tier; trend summaries on standard. Per-survey cost stays bounded even at company-wide pulses.
INDUSTRY FIT
Industries where survey velocity moves the most weight
Surveys Agent shines where listening cadence is operational, not annual — and where anonymity is a legal requirement.
Healthcare
Joint Commission and engagement pulses run with strict anonymity; charge nurses see unit-level response rates without identifying staff.
Manufacturing
Safety culture and near-miss pulses go out to plant-floor crews; supervisors get response counts without identifying which operator answered what.
Retail
Store-experience pulses run weekly; district managers see store-level response rates and trigger a reminder from chat before the recap call.
Financial Services
Quarterly compliance and conduct pulses with explicit authorization-tier access — regulators see the audit, not the responses.
Hospitality
Post-event and seasonal-worker pulses captured before staff rotates; GMs see property-level results without exposing seasonal IDs.
Public Sector
Constituent and employee surveys with anonymity guarantees enforced — within the FedRAMP-eligible deployment boundary.
WHY MANGOAPPS WINS
An embedded surveys agent beats an email chain, a Culture Amp seat, or a custom build on every axis
The argument HR, IT, comms, and legal all share — and the one a horizontal AI or a single-vendor survey SaaS structurally cannot answer.
Cheaper than the alternatives
No Culture Amp/Qualtrics per-employee fee, no SurveyMonkey AI add-on, no custom anonymity build, no extra HRBP headcount chasing response rates.
More secure
Authorization-gated reads and anonymity-preserving non-responder triage. Every action logs through AiApiLog and stays inside the tenant.
Easier to deploy
Already deployed if Surveys is enabled. Turn the agent on and pending-survey lookups, response-rate triage, and reminders work the same day.
Easier to use
"What surveys are pending for me" / "which units are below 70% response" — one prompt, no dashboard hunt.
Easier to manage
Per-business anonymity defaults, authorization tiers, and reminder cadence sit in the same admin console as every other app's settings.
Easier to extend
New analytics surfaces (sentiment, segment cuts, trend deltas) ship as tools — the agent picks them up without a re-train.
AI is actually better
A vendor or generic AI can summarize responses. Only Surveys Agent can also see the live roster, who's anonymous, who's authorized to view what, and the confirmation prompt before a reminder fan-out.
At our head office within HR, marketing, and finance, we use ChatGPT quite a bit, and MangoApps AI Helper is a useful tool for us. As I go around to the stores, I’ve been showing them how the AI Intranet Helper can find things and answer plain language questions about our resources, and they’re quite excited about that.
Alison van Zijl
Head of Human Resources
Full House
Customer Success
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Frequently Asked Questions About Surveys Agent
9 tools across discovery, participant views, owner analytics, and reminders — list surveys with status filter, get survey details, view responses (authorized), view your pending surveys, view your submitted surveys, get survey analytics, get response status (counts + completion + open), list non-responders (authorized), and send a reminder to non-responders (gated write).
No. send_survey_reminder is the only write tool and it requires explicit confirmation. The agent surfaces the recipient count, channels, cadence, and anonymity guarantees before sending — and waits for the owner to confirm.
No. Anonymity is preserved end-to-end. get_survey_responses returns aggregated data; list_non_responders for anonymous surveys returns counts and department breakdowns without exposing individual identities. The agent enforces the same anonymity the Surveys app does.
Authorization is inherited from the Surveys app. get_survey_analytics, get_survey_responses, and list_non_responders all require the user to be authorized for that specific survey. Participants see their own pending and submitted lists; analytics views are owner-tier.
Completion rate (overall and by department), time-to-respond, department response variance, reminder lift per cycle, and survey-discovery via agent (the share of submissions that came from "what's pending for me?" queries). Compare against your pre-agent baseline.
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