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Research

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Mixpanel Cohort Analysis — Q4 2025 Trial Users

12 chunks · 3/11/2026

User Interviews — 15 Churned Trial Users (Jan 2026)

24 chunks · 3/11/2026

Hotjar Session Recordings Analysis — Onboarding Flow

8 chunks · 3/12/2026

Industry Benchmark: SaaS Onboarding Completion Rates 2025

6 chunks · 3/12/2026

Support Ticket Analysis — First 7 Days (6 months)

18 chunks · 3/13/2026

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Mixpanel Cohort Analysis — Q4 2025 Trial Users94%

Of 4,200 trial signups in Q4 2025, only 1,344 (32%) completed the onboarding flow. The median drop-off point was at step 3 of 7 (data source connection), with 68% abandoning within the first 5 minutes. Users who completed onboarding had a 74% conversion rate to paid, vs 3% for those who didn't.

User Interviews — 15 Churned Trial Users (Jan 2026)89%

Interview participant P7 (Product Manager, mid-market): "I signed up excited but the onboarding asked me to connect my database before I could even see what the tool does. I wanted to explore with sample data first. By the time I figured out I couldn't, I'd already moved on to a competitor."

Industry Benchmark: SaaS Onboarding Completion Rates 202587%

The industry median for B2B SaaS onboarding completion is 52% (Userpilot 2025 Report). Top-quartile products achieve 71% completion by offering sandbox/demo environments. Products requiring data connection during onboarding see 23% lower completion rates than those offering sample data.

1

Problem

Demo

Problem Statement

Problem Title

High trial-user drop-off during onboarding in the first 5 minutes

Problem Owner

New trial users (primarily Product Managers and Data Analysts at mid-market B2B companies) who sign up via organic channels and self-serve trial

Current State

68% of trial signups abandon the onboarding flow within the first 5 minutes. The median drop-off occurs at step 3 of 7 (data source connection). Only 32% of trial users complete onboarding. Of those who don't complete, only 3% ever convert to paid.

Desired State

Onboarding completion rate above 55% (industry median: 52%). Trial-to-paid conversion for onboarding completers maintained at 70%+. Median time-to-value under 3 minutes — users see their first insight before being asked to connect production data.

Gap

36 percentage points below target onboarding completion (32% actual vs 55% target). Current flow requires data connection at step 3, blocking users before they experience value. No sandbox or sample-data option exists. Time-to-first-value is currently 12+ minutes for users who complete, and infinite for the 68% who don't.

Impact

Estimated $2.1M/year in lost recurring revenue (based on 2,856 abandoned trials × 74% expected conversion rate × $84/month average plan × 12 months). CAC payback extends from 5.2 months to 14.8 months when including unconverted trial costs. Sales team spends 30% of time on manual onboarding rescue for high-value leads.

Evidence

Mixpanel cohort analysis (Q4 2025): 68% drop-off rate, step 3 as primary exit point. 15 user interviews (Jan 2026): 12 of 15 cited 'wanting to explore before committing data'. Hotjar recordings: average 4.2 minutes spent on step 3 before abandoning. Industry benchmark (Userpilot 2025): products requiring early data connection see 23% lower completion. Support ticket analysis: 340 tickets/month asking 'can I try with sample data?'

Constraints

Engineering capacity: 2 senior + 1 mid-level engineers available for Q2. Current data pipeline architecture assumes real data from step 3 onward — sample data would need a parallel path. Security review required for any sandbox environment (est. 3 weeks). No budget for additional tooling beyond current stack.

Assumptions

We assume users who complete onboarding retain at similar rates regardless of whether they started with sample or real data. We assume the primary barrier is the data connection requirement, not UI complexity or pricing concerns. We assume a sandbox environment would not create security risks for existing customers.

Informe de auditoría pre-generado

Estático
78de 100

GATE REVIEW 1 — PROBLEM

Tu Problem Statement necesita mejoras

Necesita trabajo

The Problem Statement is well-structured with strong quantitative evidence and a clearly defined gap. The main areas for improvement are: (1) the impact calculation overestimates revenue loss by assuming all rescued trials would convert at the completer rate, and (2) the assumptions section should acknowledge pricing confusion as a secondary barrier found in 3 of 15 interviews.

7/9

Elementos completos

3

Fuentes citadas

100%

Claims respaldados

0

Contradicciones

Respaldado por evidencia
85
Especificidad
90
Claridad del gap
88
Impacto cuantificado
65
Sin filtración de solución
82
Consistencia interna
70

Apply a 40-60% discount factor to the revenue impact estimate to account for self-selection bias

Criterios del Gate 1

6 criterios evaluados · Score medio: 80

85Aprobado

Respaldado por evidencia

7 of 9 elements have direct evidence from the research

90Aprobado

Especificidad

Highly specific throughout: exact percentages (68%, 32%, 74%), time frames (5 minutes, Q4 2025), segment details (mid-market B2B, organic channels), and dollar amounts ($2.1M).

88Aprobado

Claridad del gap

Gap is clearly quantified (36pp below target) with a specific root cause identified (data connection at step 3). The delta between current and desired state is measurable.

65Necesita trabajo

Impacto cuantificado

CAC payback extension is well-done. Missing: opportunity cost of sales team time spent on manual rescue.

82Aprobado

Sin filtración de solución

The PS describes the problem without prescribing solutions

70Necesita trabajo

Consistencia interna

Mostly consistent, but the assumptions section claims 'primary barrier is data connection' while the evidence section me...

Análisis por elemento

1 / 9
100%

ELEMENTO 1 DE 9 · PROBLEM TITLE

¿Cuál es el problema que quieres resolver?

Aprobado

The title is specific, measurable ('first 5 minutes'), and clearly identifies the problem domain (trial-user onboarding).

100%

ELEMENTO 2 DE 9 · PROBLEM OWNER

¿Quién sufre este problema?

Aprobado

Well-defined segment: role (PM, Data Analyst), company size (mid-market B2B), and acquisition channel (organic, self-serve).

100%

ELEMENTO 3 DE 9 · CURRENT STATE

¿Cómo es la situación actual de tu Problem Owner?

Aprobado

Quantified with specific metrics (68% drop-off, step 3 of 7, 32% completion, 3% conversion for non-completers). Directly supported by Mixpanel data.

100%

ELEMENTO 4 DE 9 · DESIRED STATE

¿Cómo debería ser la situación ideal?

Aprobado

Target is specific (55% completion) and benchmarked against industry median (52%). Time-to-value target of 3 minutes is concrete.

100%

ELEMENTO 5 DE 9 · GAP

¿Cuál es el gap entre la situación actual y la deseada?

Aprobado

Gap is clearly quantified (36 percentage points) and the root cause (data connection at step 3) is identified with supporting evidence.

100%

ELEMENTO 6 DE 9 · IMPACT

¿Qué impacto tiene si no se resuelve?

Necesita trabajo

This is likely an overestimate — self-selection bias means completers are inherently more motivated.

100%

ELEMENTO 7 DE 9 · EVIDENCE

¿Qué evidencia respalda tu Problem Statement?

Aprobado

Strong evidence base: quantitative analytics (Mixpanel), qualitative interviews (15 users), behavioral data (Hotjar), industry benchmarks (Userpilot), and support data (340 tickets/month). Multiple sources triangulate the same finding.

0%

ELEMENTO 8 DE 9 · CONSTRAINTS

¿Qué limitaciones tiene tu proyecto?

Aprobado

Constraints are realistic and specific: team size, architecture dependency, security review timeline, and budget limits. These will meaningfully shape the solution space.

100%

ELEMENTO 9 DE 9 · ASSUMPTIONS

¿Qué estás dando por hecho?

Necesita trabajo

.

Confusiones detectadas

Mixed Evidence

The Impact section uses the 74% conversion rate from onboarding completers as the expected rate for all rescued trials. However, the Mixpanel data shows this rate is for self-selected completers — rescued users would likely convert at a lower rate.

impactevidence

Sugerencias de mejora

5 sugerencias

Verificar dato1

Apply a 40-60% discount factor to the revenue impact estimate to account for self-selection bias

Verificar dato2

Add a conservative/optimistic range to the $2.1M figure

Verificar dato3

Acknowledge pricing confusion as a secondary barrier in the assumptions

Verificar dato4

Add an assumption validation plan (e.g., A/B test) to the assumptions section

Verificar dato5

Quantify the sales team opportunity cost (30% of time on manual rescue)

Gate 1: Problem Definition

En un proyecto real, revisarías el informe de auditoría y aprobarías para desbloquear la fase Solution.

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