Quantitative Findings

Gen Z dates differently.

Survey data from 45 Gen Z dating app users — collected April 2026. Results address how Gen Z socializes the dating experience and leverages external platforms for trust and verification.

Total respondents

95.6%

Age 18–35

43 of 45

65.9%

Female-identifying

29 of 44 with gender data

86.4%

Use Hinge

Most common app

121s

Avg. completion time

Median 111s

Gender — Q16

Female

65.9%

Male

20.5%

Non-binary / third gender

6.8%

Prefer to self-describe

4.5%

Prefer not to say

2.3%

N=44 with gender data; 1 respondent did not provide.

Age — Q15

18 to 35

95.6%

36 to 49

2.2%

49+

2.2%

Hispanic Origin — Q12

Not Hispanic

86.4%

Hispanic / Latino

13.6%

Race — Q13 (select all that apply)

White or Caucasian

72.7%

Asian

29.5%

Native Hawaiian / Pac. Islander

11.4%

Black or African American

9.1%

American Indian / Alaska Native

4.5%

Other / Prefer not to say

6.8%

Multi-select; percentages exceed 100%.

Dating Apps Used — Q3

Hinge

86.4%

Tinder

51.1%

Bumble

28.9%

Other (various)

24.4%

Other apps include Grindr, HER, Raya, Feeld, eharmony, OkCupid, Yubo, Lex, Taimi, Fet.

Research Question 1

How do Gen Z daters engage their social network?

Understand how, if at all, Gen Z daters involve friends and their social circle in the dating experience — from co-browsing to collaborative swiping to sharing matches.

82.2%

Used app socially (Q4)

37 of 45

93.1%

Female social use rate

27 of 29

66.7%

Male social use rate

6 of 9

57.8%

Social + research (both)

26 of 45

Social setting use by gender

% who answered Yes to Q4, by gender group

Female (n=29)

93.1%

Male (n=9)

66.7%

NB / Other (n=6)

50.0%

Female social use rate (93.1%) is substantially higher than male (66.7%). The gap did not reach statistical significance at N=45 (χ²=2.21, p=0.137), but the pattern is consistent with IDI findings. Flag for full-scale study.

Q4 — Full breakdown (N=45)

Response	Freq	%	Cum %
Yes	37	82.2%	82.2%
No	8	17.8%	100.0%
Total	45	100.0%	—

Q4 × Q6 — Social use and off-app research

Co-occurrence of both behaviors (N=45)

Pattern	Freq	% of N
Both Q4=Yes and Q6=Yes	26	57.8%
Social only (no research)	11	24.4%
Research only (no social)	4	8.9%
Neither	4	8.9%
Total	45	100.0%

57.8% of respondents engaged their social network and conducted off-app research. Friends aren't just entertainment — they're part of the trust pipeline. Social input follows directly into independent verification.

Among Q4=Yes (n=37): who also researched?

Q6 among social users	Freq	%
Also left to research (Q6=Yes)	26	70.3%
Did not research (Q6=No)	11	29.7%
Base (Q4=Yes)	37	100.0%

Q5 — Social use codes (among Q4=Yes, n=37)

OE responses coded inductively. Codes are not mutually exclusive — most respondents received 2–3 codes.

Profile / match sharing (PS)

47.4%

Co-browsing (CB)

42.1%

Input seeking (IS)

21.1%

Collective / proxy swiping (CS)

18.4%

Remote modality — FaceTime etc. (RM)

15.8%

Entertainment framing (EF)

15.8%

Profile collaboration (PC)

7.9%

Research Question 2

How do Gen Z daters verify and validate?

Identify how, if at all, Gen Z daters leverage other online platforms and communities to verify and validate information made available to them on dating apps.

64.4%

Left app to research (Q6)

29 of 45

37.8%

Used alt platform (Q8)

17 of 45

22.2%

Both Q6 + Q8

10 of 45

63.3%

Used Instagram for research

Of Q6=Yes (n=29)

Q7 — Platforms used for research

Among Q6=Yes respondents (n=29)

Instagram (IG)

63.3%

LinkedIn (LI)

20.0%

Google (GL)

13.3%

Other platform (OT)

3.3%

Q7 — Motivations for research

Safety & verification (SV)

23.3%

Mutual connection check (MC)

23.3%

Background / character (BV)

20.0%

Attraction / more content (AC)

13.3%

Trust is built outside the app, not within it. Instagram is the primary verification tool for nearly two-thirds of researchers. Users complete the picture that dating app profiles leave unfinished.

Q6 by gender — off-app research

% Yes to Q6, by gender (χ²=0.00, p=1.00, n.s.)

Gender	Q6 = No	Q6 = Yes	Total	Rate
Female	10	19	29	65.5%
Male	3	6	9	66.7%
NB / Other	3	3	6	50.0%
Total	16	28	44*	63.6%

*1 respondent missing gender data; gender-level counts = 44. Off-app research rates are near-identical across Female and Male groups — verification is gender-neutral in frequency, though IDIs show the reasons differ.

Q8 by gender — alternative platform use

Gender	Q8 = No	Q8 = Yes	Total	Rate
Female	20	9	29	31.0%
Male	4	5	9	55.6%
NB / Other	3	3	6	50.0%
Total	27	17	44*	38.6%

χ²=0.88, p=0.349 (n.s.). Male alt-platform rate (55.6%) exceeds female (31.0%) — directionally consistent with IDI finding that men use Instagram for DM sliding more than women. Confirm in full study.

Q9 — Alt platform codes (n=17 Q8=Yes)

Instagram (IG)

52.6%

DM sliding (DM)

42.1%

Other platform (OT)

21.1%

Shared context connection (SCC)

21.1%

Off-app migration (OM)

10.5%

Beyond Romance

Dating apps as social infrastructure.

Nearly 4 in 10 respondents have used a dating app for something other than finding a romantic partner — from making friends to building community to seeking validation.

36.4%

Non-romantic use (Q10)

16 of 44 with valid data

62.5%

Friend-finding (FF)

Top non-romantic use

66.7%

NB/Other non-romantic rate

4 of 6

27.6%

Female non-romantic rate

8 of 29

Q11 — What were they using it for?

Among Q10=Yes respondents (n=16), % per code

Friend-finding (FF)

62.5%

Sex / hookups & sugar (SH)

31.3%

Community building (CB)

18.8%

Validation / distraction (VD)

12.5%

Networking / professional (NP)

6.3%

Situationship (ST)

6.3%

Friend-finding is 2× more common than sexual/hookup use among non-romantic users. Dating apps are serving a real social connection gap — not just a romantic one.

Q10 by gender

Non-romantic use rates across gender groups (χ²=0.29, p=0.59, n.s.)

Gender	Q10 = No	Q10 = Yes	Total	Rate
Female	21	8	29	27.6%
Male	5	4	9	44.4%
NB / Other	2	4	6	66.7%
Total	28	16	44*	36.4%

*1 respondent missing gender and Q10 data. Non-binary respondents show the highest non-romantic use rate (66.7%) — dating apps fill a social and community gap especially for LGBTQ+ users. The direction of this finding is consistent across multiple IDIs.

Q11 non-romantic codes by gender

Code	Female	Male	NB/Other	Total
FF — Friend-finding	8	1	1	10
SH — Sex / hookups & sugar	2	1	2	5
CB — Community building	2	0	1	3
VD — Validation / distraction	2	0	0	2
NP — Networking	0	1	0	1
ST — Situationship	1	0	0	1
Base (Q10=Yes)	29	9	6	16

Friend-finding is female-dominant. Networking is male-only in this sample. Community building is most prevalent among NB/Other users relative to group size.

Cross-Cutting Analysis

What the data tells us, together.

Behavior stacking, co-occurrence patterns, and quantitative support for the synthesized qualitative themes.

Behavior stacking — how many of the 4 behaviors do respondents endorse?

Q4 (social use) + Q6 (research) + Q8 (alt platform) + Q10 (non-romantic). Scale 0–4. No respondent scored 0.

17.8%
1 behavior

48.9%
2 behaviors

28.9%
3 behaviors

82.2% of respondents endorsed 2 or more of the 4 behaviors. The typical Gen Z dater in this sample is not a passive user — they are actively building a social and verification ecosystem around their app usage.

Co-occurrence matrix (N=45)

	Q4 — Social	Q6 — Research	Q8 — Alt Platform	Q10 — Non-Romantic
Q4 — Social (n=37)	37 (82.2%)	26 (57.8%)	14 (31.1%)	10 (22.2%)
Q6 — Research (n=29)	26 (57.8%)	29 (64.4%)	10 (22.2%)	8 (17.8%)
Q8 — Alt Platform (n=17)	14 (31.1%)	10 (22.2%)	17 (37.8%)	6 (13.3%)
Q10 — Non-Romantic (n=16)	10 (22.2%)	8 (17.8%)	6 (13.3%)	16 (35.6%)

Diagonal = marginal (% of N=45). Off-diagonal = joint count. Q4+Q6 is the strongest pairing at 57.8%.

Connection to qualitative synthesis themes

FINDING 01

Trust is built outside the app — universally.

IDIs established that dating apps function as discovery tools, not trust systems. The quantitative data confirms: 64.4% left the app to research someone, and 82.2% engaged their social network. Both behaviors are widespread, not niche.

64.4%

Left to research

82.2%

Social use

57.8%

Both

FINDING 02

Instagram operates as a shadow dating platform.

Instagram is the top research tool (63.3% of Q6=Yes) and the top alternative platform (52.6% of Q8=Yes). For 10 respondents, it serves both roles — verifying matches and initiating contact independently of dating apps entirely.

63.3%

Research via IG

52.6%

Alt platform IG

Both Q6+Q8 via IG

FINDING 03

Social input is invited, not outsourced.

IDIs found Gen Z wants control. Quantitatively: 82.2% used apps socially, but only 4.4% endorsed all 4 behaviors. High social use coexists with selective engagement — friends play a supporting role, not a leading one.

82.2%

Any social use

4.4%

All 4 behaviors

FINDING 04

Dating apps are general social infrastructure.

36.4% of respondents used a dating app for something non-romantic. Friend-finding is the leading purpose at 62.5% of non-romantic users — more than twice the sexual/hookup category. Apps are filling a social connection gap that extends well beyond dating.

36.4%

Non-romantic use

62.5%

Friend-finding (top)

66.7%

NB/Other rate

Statistical note: All chi-square tests returned p > 0.05 at N=45. The directional gender differences across all measures — particularly female social use (93.1% vs. 66.7% male) and non-binary non-romantic use (66.7%) — should be treated as hypotheses to confirm in a larger study. A minimum N of ~150 is recommended for adequate statistical power (α=0.05, β=0.80) to detect medium-sized effects.