TheySaid

Name: TheySaid
Brand: TheySaid
Rating: 4.8 (87 reviews)

Run AI user testing, moderated interviews, and intelligent surveys all in one unified feedback platform.

Est 2019|Valuation $16M|Raised $7M|15 Ref Customers

LinkedIn 4K|Website|Web traffic 13K|FTEs 28|HQ Salt Lake City, Utah, US

MarketsCustomer Experience Platform (CXP)Voice of the Customer User Research

Published Oct 15, 2026

01Common complaints

Company sizes or stages where this product is overkill or insufficient
- Overkill
  - Very early-stage solo founders who only need a simple embedded form with strict branding control may be better served by a lightweight form builder.
- Insufficient
  - Large enterprises needing guaranteed compliance posture (e.g., HIPAA) and formal audit artifacts as part of onboarding.
Industries or use cases where competitors are clearly superior
- Regulated industries with strict compliance procurement
  - Qualtrics or other enterprise survey vendors may be easier to procure due to mature compliance documentation.
- High-stakes statistical research and advanced methodology
  - Qualtrics-style platforms generally provide stronger survey science tooling and reporting.
Technical requirements that this product cannot meet
- Not proven from public sources
  - SCIM, advanced audit logs, and granular data residency controls are not clearly documented publicly.
Budget constraints that make alternatives more appropriate
- If you don’t need conversational follow-ups and AI synthesis, basic survey tools can be cheaper and simpler.
Specific workflows or integrations where the product falls short
- If you require production-grade, deeply customizable reporting dashboards, review content suggests analytics depth may be limited.
Red flags in the buying process
- Marketing claims such as “35–45% response rates” are presented on the vendor awards page without accessible methodology or independent validation.
- Review ecosystems can be biased (vendor-referred incentivized reviews on Capterra). Treat star averages as a starting point, not proof.
Current limitations acknowledged by the vendor
- The vendor’s public pages emphasize improvements and roadmap themes, but do not provide a transparent “known issues” list.
Features on the roadmap (not yet available) - note estimated dates if available
- No firm roadmap dates were found in accessible official sources.
Scale limitations (at what volume/size does it break down?)
- Not publicly documented.
Security or compliance gaps
- SOC 2 Type II and ISO 27001 certification proof is not publicly documented.
- Data residency options are not clearly documented.
Technical debt or architectural limitations mentioned in reviews
- Some G2 users mention limited customization and interface intuitiveness.
API limitations or integration constraints
- Integrations are listed (Slack, Salesforce, HubSpot, etc.), but details on API breadth, webhooks, rate limits, or enterprise controls are not publicly validated in the accessed sources.

- Company sizes or stages where this product is overkill or insufficient - Overkill - Very early-stage solo founders who only need a simple embedded form with strict branding control may be better served by a lightweight form builder. - Insufficient - Large enterprises needing guaranteed compliance posture (e.g., HIPAA) and formal audit artifacts as part of onboarding. - Industries or use cases where competitors are clearly superior - Regulated industries with strict compliance procurement - Qualtrics or other enterprise survey vendors may be easier to procure due to mature compliance documentation. - High-stakes statistical research and advanced methodology - Qualtrics-style platforms generally provide stronger survey science tooling and reporting. - Technical requirements that this product cannot meet - Not proven from public sources - SCIM, advanced audit logs, and granular data residency controls are not clearly documented publicly. - Budget constraints that make alternatives more appropriate - If you don’t need conversational follow-ups and AI synthesis, basic survey tools can be cheaper and simpler. - Specific workflows or integrations where the product falls short - If you require production-grade, deeply customizable reporting dashboards, review content suggests analytics depth may be limited. - Red flags in the buying process - Marketing claims such as “35–45% response rates” are presented on the vendor awards page without accessible methodology or independent validation. - Review ecosystems can be biased (vendor-referred incentivized reviews on Capterra). Treat star averages as a starting point, not proof. - Current limitations acknowledged by the vendor - The vendor’s public pages emphasize improvements and roadmap themes, but do not provide a transparent “known issues” list. - Features on the roadmap (not yet available) - note estimated dates if available - No firm roadmap dates were found in accessible official sources. - Scale limitations (at what volume/size does it break down?) - Not publicly documented. - Security or compliance gaps - SOC 2 Type II and ISO 27001 certification proof is not publicly documented. - Data residency options are not clearly documented. - Technical debt or architectural limitations mentioned in reviews - Some G2 users mention limited customization and interface intuitiveness. - API limitations or integration constraints - Integrations are listed (Slack, Salesforce, HubSpot, etc.), but details on API breadth, webhooks, rate limits, or enterprise controls are not publicly validated in the accessed sources.

02Why they buy

Competitive advantages validated by customer feedback (not just vendor claims)
- Conversational AI surveys that feel more like an interview and can produce richer open-ended context (repeated in G2 review excerpts).
- Ease of setup and speed of survey creation (frequent praise on G2).
Unique features and capabilities competitors lack
- Unified “modes” (AI conversations, forms, polls, user tests) inside one platform (vendor claim in 3.0 release).
- Voice mode across feedback types (vendor claim in 3.0 release).
Differentiation from competitors based on reviews
- Reviewers frequently emphasize engagement and “natural dialogue” vs static surveys.
Value propositions with evidence from case studies
- Vendor testimonials cite 5–10% improvements (qualified leads, churn), but these are not independently verified.
Areas where competitors clearly have advantages (be balanced)
- Typeform: brand controls and established form UX, clear tier pricing
- UserTesting: enterprise maturity, large-scale research operations, procurement readiness
- Qualtrics: advanced survey analytics, methodology and enterprise compliance packaging

- Competitive advantages validated by customer feedback (not just vendor claims) - Conversational AI surveys that feel more like an interview and can produce richer open-ended context (repeated in G2 review excerpts). - Ease of setup and speed of survey creation (frequent praise on G2). - Unique features and capabilities competitors lack - Unified “modes” (AI conversations, forms, polls, user tests) inside one platform (vendor claim in 3.0 release). - Voice mode across feedback types (vendor claim in 3.0 release). - Differentiation from competitors based on reviews - Reviewers frequently emphasize engagement and “natural dialogue” vs static surveys. - Value propositions with evidence from case studies - Vendor testimonials cite 5–10% improvements (qualified leads, churn), but these are not independently verified. - Areas where competitors clearly have advantages (be balanced) - Typeform: brand controls and established form UX, clear tier pricing - UserTesting: enterprise maturity, large-scale research operations, procurement readiness - Qualtrics: advanced survey analytics, methodology and enterprise compliance packaging

Why customers chose TheySaid (recurring themes)

Faster setup and “one-click” generation of survey/interview flows (frequently cited on G2 and in vendor messaging).
Higher engagement due to conversational follow-ups and voice mode (repeated across vendor pages and reviews).
Reduced manual analysis time via AI summaries/themes.

03Field reports

Review-platform sentiment snapshot (G2 + Capterra)

G2 rating snapshot
- TheySaid is very highly rated on G2 with a moderate review footprint (as captured in the G2 listing).
- G2’s AI-generated summary highlights ease of use and engagement, and notes limitations in analytics/reporting.
Capterra rating snapshot
- Capterra shows a very high rating with a small review footprint and a recent platform update.
- Multiple Capterra reviews visible are marked as vendor-referred/incentivized, which can bias sentiment upward even if the review is honest.

- G2 rating snapshot - TheySaid is very highly rated on G2 with a moderate review footprint (as captured in the G2 listing). - G2’s AI-generated summary highlights ease of use and engagement, and notes limitations in analytics/reporting. - Capterra rating snapshot - Capterra shows a very high rating with a small review footprint and a recent platform update. - Multiple Capterra reviews visible are marked as vendor-referred/incentivized, which can bias sentiment upward even if the review is honest.

Direct customer quotes — positive

G2 (positive)
- “Extremely intuitive and easy to setup.” — Alex G., Systems Manager (review recorded on G2).
- “New, Refreshing survey app designed to make analyzing results easier.” — Verified User in Pharmaceuticals (Enterprise) (review recorded on G2).
Capterra (positive)
- “Great AI feature.” — Eddie G., President (review recorded on Capterra).
- “Finally, surveys that are engaging and fun to complete!” — Eugeine G., CMO (review recorded on Capterra).

- G2 (positive) - “Extremely intuitive and easy to setup.” — Alex G., Systems Manager (review recorded on G2). - “New, Refreshing survey app designed to make analyzing results easier.” — Verified User in Pharmaceuticals (Enterprise) (review recorded on G2). - Capterra (positive) - “Great AI feature.” — Eddie G., President (review recorded on Capterra). - “Finally, surveys that are engaging and fun to complete!” — Eugeine G., CMO (review recorded on Capterra).

Direct customer quotes — negative / concerns (from accessible sources)

G2 (specific dislikes)
- “Reliance on AI for Question Generation: I would like more ability to customize.” — Alex G., Systems Manager (review recorded on G2).
- A different G2 reviewer notes: “You might need to edit some of the questions that the AI gives to you to make it applicable for your ORG and I also did not see a way to put your ORG colors on the surveys.” — Lauren R., Operations Coordinator (review recorded on G2).
Capterra (limitations framed as “cons”)
- One Capterra reviewer states: “Currently, the platform is limited to one question type to initiate the survey.” (with expectation that more will be added) — (review recorded on Capterra).

- G2 (specific dislikes) - “Reliance on AI for Question Generation: I would like more ability to customize.” — Alex G., Systems Manager (review recorded on G2). - A different G2 reviewer notes: “You might need to edit some of the questions that the AI gives to you to make it applicable for your ORG and I also did not see a way to put your ORG colors on the surveys.” — Lauren R., Operations Coordinator (review recorded on G2). - Capterra (limitations framed as “cons”) - One Capterra reviewer states: “Currently, the platform is limited to one question type to initiate the survey.” (with expectation that more will be added) — (review recorded on Capterra).

Community / social proof (Reddit)

Reddit mentions of TheySaid appear frequently in SaaS/product feedback threads, often as a tool recommendation rather than a deep review.
- Example: a commenter describes using TheySaid to make exit surveys more conversational: “I’ve also used an AI tool (TheySaid) that turns the follow-up into a quick, natural chat instead of a long survey.”
- Caveat: these threads often include founders promoting tools; it’s not always clear if the commenter is affiliated.

- Reddit mentions of TheySaid appear frequently in SaaS/product feedback threads, often as a tool recommendation rather than a deep review. - Example: a commenter describes using TheySaid to make exit surveys more conversational: “I’ve also used an AI tool (TheySaid) that turns the follow-up into a quick, natural chat instead of a long survey.” - Caveat: these threads often include founders promoting tools; it’s not always clear if the commenter is affiliated.

Why some customers might leave / choose alternatives (inferred from complaints + competitive landscape)

Branding/customization gaps
- Multiple G2/Capterra comments suggest limited customization/branding (colors, question control).
- This pushes brand-sensitive teams toward Typeform/Qualtrics.
Analytics/reporting depth
- G2’s summary and pros/cons page indicate analytics options are limited, which can push teams toward Qualtrics or specialized VoC analytics.
Enterprise governance
- If a buyer requires SOC 2 Type II and detailed security artifacts early in procurement, a “designed to be SOC 2 compliant” posture may slow or block deals.

- Branding/customization gaps - Multiple G2/Capterra comments suggest limited customization/branding (colors, question control). - This pushes brand-sensitive teams toward Typeform/Qualtrics. - Analytics/reporting depth - G2’s summary and pros/cons page indicate analytics options are limited, which can push teams toward Qualtrics or specialized VoC analytics. - Enterprise governance - If a buyer requires SOC 2 Type II and detailed security artifacts early in procurement, a “designed to be SOC 2 compliant” posture may slow or block deals.

Vendor-published testimonials with metrics (not independently verified)

The vendor homepage/use-cases page includes named testimonials claiming outcomes:
- Nezasa: modest increase in qualified leads while reducing churn.
- Rocketlane: modest decrease in customer churn.
Critical evaluation
- These are marketing testimonials without disclosed methodology, sample sizes, baselines, or precise time windows (claims reference a brief, unspecified timeframe). They should be treated as directional rather than decision-grade ROI evidence.

- The vendor homepage/use-cases page includes named testimonials claiming outcomes: - Nezasa: modest increase in qualified leads while reducing churn. - Rocketlane: modest decrease in customer churn. - Critical evaluation - These are marketing testimonials without disclosed methodology, sample sizes, baselines, or precise time windows (claims reference a brief, unspecified timeframe). They should be treated as directional rather than decision-grade ROI evidence.

Vendor examples of “what’s new” / product capabilities that affect outcomes

TheySaid 3.0 release highlights:
- full voice support
- user testing video recordings
- “Ask AI” querying of responses
- conditional logic and improved forms UX
Critical evaluation
- These are feature announcements; buyers should request a sandbox demo and verify:
  - quality of transcripts and theme extraction
  - hallucination controls and traceability (the vendor claims responses can be traced back to supporting content)
  - usability of “Ask AI” for different stakeholder personas

- TheySaid 3.0 release highlights: - full voice support - user testing video recordings - “Ask AI” querying of responses - conditional logic and improved forms UX - Critical evaluation - These are feature announcements; buyers should request a sandbox demo and verify: - quality of transcripts and theme extraction - hallucination controls and traceability (the vendor claims responses can be traced back to supporting content) - usability of “Ask AI” for different stakeholder personas

Mixed results / projects that struggled

No explicit “failed implementation” case studies were found in accessible sources.
However, third-party review commentary raises risks typical of AI analysis:
- hallucination risk
- potential for surface-level context without human intuition
- limited bug-reporting channels noted in independent commentary

04Best fit

Ideal Customer Profile

Company sizes: specific employee counts and revenue ranges
- Based on review distribution and product positioning:
  - SMB to mid-market: small to mid-market organizations (from small teams up through mid-market)
  - Enterprise: possible (some enterprise reviewers appear on review platforms), but likely requires security/compliance confirmation
Industries and verticals where adoption is strongest (with customer examples)
- Cross-industry, but strongest fit where rapid feedback loops matter:
  - SaaS / B2B software (frequent mention in positioning)
  - Product teams and UX research
  - Marketing (competitive intel, messaging)
  - HR (engagement/onboarding/exit)
- Named examples from vendor testimonials: ClickUp, Rocketlane, Nezasa, DX (vendor-published; verify references)
Roles and personas: decision makers AND end users
- Decision makers
  - Head of Product / VP Product
  - Head of UX Research
  - Head of CX / VoC
  - Marketing leadership (VP Marketing / Growth)
  - HR leadership for employee feedback workflows
- End users
  - Product managers, designers, UX researchers
  - Customer success ops / CX analysts
  - Marketing ops / research
Pain points and challenges the product addresses
- Slow research cycles (scheduling, moderation, manual synthesis)
- Low engagement and shallow survey data
- Difficulty extracting themes from open text at scale
Qualification criteria: what makes a GREAT fit
- Need qualitative depth quickly (discovery, churn reasons, win/loss)
- Willingness to use AI to augment moderation and synthesis
- Teams that can operationalize insights (Slack/Jira workflows) rather than letting reports sit idle
Deal disqualifiers: what makes a POOR fit
- Hard requirements for audited compliance artifacts up-front unless the vendor can provide them under NDA
- Heavy brand control needs for public-facing surveys/forms
- Organizations that require deep statistical analysis/weighting/sampling controls typical of enterprise research suites
Real customer examples with company names when available
- Vendor-published: ClickUp, Rocketlane, Nezasa, DX
- Review-platform examples are anonymized (common for review platforms)

- Company sizes: specific employee counts and revenue ranges - Based on review distribution and product positioning: - SMB to mid-market: small to mid-market organizations (from small teams up through mid-market) - Enterprise: possible (some enterprise reviewers appear on review platforms), but likely requires security/compliance confirmation - Industries and verticals where adoption is strongest (with customer examples) - Cross-industry, but strongest fit where rapid feedback loops matter: - SaaS / B2B software (frequent mention in positioning) - Product teams and UX research - Marketing (competitive intel, messaging) - HR (engagement/onboarding/exit) - Named examples from vendor testimonials: ClickUp, Rocketlane, Nezasa, DX (vendor-published; verify references) - Roles and personas: decision makers AND end users - Decision makers - Head of Product / VP Product - Head of UX Research - Head of CX / VoC - Marketing leadership (VP Marketing / Growth) - HR leadership for employee feedback workflows - End users - Product managers, designers, UX researchers - Customer success ops / CX analysts - Marketing ops / research - Pain points and challenges the product addresses - Slow research cycles (scheduling, moderation, manual synthesis) - Low engagement and shallow survey data - Difficulty extracting themes from open text at scale - Qualification criteria: what makes a GREAT fit - Need qualitative depth quickly (discovery, churn reasons, win/loss) - Willingness to use AI to augment moderation and synthesis - Teams that can operationalize insights (Slack/Jira workflows) rather than letting reports sit idle - Deal disqualifiers: what makes a POOR fit - Hard requirements for audited compliance artifacts up-front unless the vendor can provide them under NDA - Heavy brand control needs for public-facing surveys/forms - Organizations that require deep statistical analysis/weighting/sampling controls typical of enterprise research suites - Real customer examples with company names when available - Vendor-published: ClickUp, Rocketlane, Nezasa, DX - Review-platform examples are anonymized (common for review platforms)

05The pitch

What the product does (core value proposition in objective terms)

TheySaid is an AI-native feedback and user research platform that supports AI-moderated surveys, interviews, forms, polls, and user tests in a single workflow, with automated follow-up questions and AI-generated analysis/summaries. It positions itself as replacing “static surveys” with conversational experiences and faster synthesis.
Core promise: get “interview depth at survey scale,” and reduce manual moderation + qualitative coding effort via AI.

Target market and market positioning

Primary buyers/users appear to be:
- Product/UX teams running usability studies and rapid discovery
- Marketing and CX teams running customer feedback, win/loss, and testimonial collection
- HR teams running employee engagement/onboarding/exit feedback
Market position: an “all-in-one feedback” product sitting between classic survey tools (SurveyMonkey/Typeform) and user testing platforms (UserTesting), with AI moderation/analysis as the differentiator. TheySaid’s “Everything app for feedback” framing is explicit in their 3.0 release messaging.

- Primary buyers/users appear to be: - Product/UX teams running usability studies and rapid discovery - Marketing and CX teams running customer feedback, win/loss, and testimonial collection - HR teams running employee engagement/onboarding/exit feedback - Market position: an “all-in-one feedback” product sitting between classic survey tools (SurveyMonkey/Typeform) and user testing platforms (UserTesting), with AI moderation/analysis as the differentiator. TheySaid’s “Everything app for feedback” framing is explicit in their 3.0 release messaging.

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