Insurtech Problem Slide: Pitch Deck Examples

How insurance startups present the problem in a pitch deck: say whether the customer or the insurer is losing out, show how risk is priced wrong.

Insurtech Problem Slide: Real Pitch Deck Examples

Eight problem slides from insurance startups (travel, auto, gig-worker, usage-based, dental and informal-sector cover), shown in full, compare whether each slide says who loses out, why today's insurance fails them, and gives evidence.

TL;DR

An insurtech problem slide has to decide whose problem it is: the policyholder who doesn't trust or can't afford cover, or the insurer losing money on claims. Faye does both on one slide: consumers find travel insurance "Confusing", "Bureaucratic and slow", and incumbents have "No customer ownership", "Low margins" and "No data, legacy systems" — so "Customers buy insurance they will struggle to use, insurers pay crippling commissions, and live off of tiny margins." Predina takes the insurer's side with sourced figures: auto insurance losses rising from "$132BN (2014)" to "$173BN (2018)", credited to the Insurance Information Institute. Beam's three headline claims with no customer and no number are the weaker pattern.

Insurtech problem slides from real pitch decks

Each example shows the exact stored slide above its analysis and links to the full teardown. Claims are as shown on the slides; we have not verified them.

Faye problem slide — slide 4

Travel insurance. Two columns (consumers, incumbents) and a highlighted result box.

Faye pitch deck problem slide 4
Faye deck, slide 4. Exact stored slide matched to this analysis.

Our analysis: The strongest example here: it names both sides, gives three reasons each, and the result box ties them together.

Evidence and limitation: No figures.

What a founder can adapt: End your problem slide with one "result" line that connects the customer's pain to the incumbent's weakness.

Supporting analysis

What the deck claims: "Travel insurance today doesn't live up to basic consumer expectations." "Consumers don't trust it": "Confusing", "Bureaucratic and slow", "Bad reputation". "Incumbents are not built for repeat customers": "No customer ownership or engagement", "Low margins", "No data, legacy systems". "The result: No brand, no loyalty. Customers buy insurance they will struggle to use, insurers pay crippling commissions, and live off of tiny margins."

Presentation choice: An investor sees why the customer is unhappy and why incumbents can't fix it, which sets up a new entrant.

When it does not fit: No figure; add one, such as the share of travellers who never claim or commission rates.

Read the Faye deck teardown

Predina problem slide — slide 5

Accident-risk prediction for auto insurers. Two rising charts with a source line.

Predina pitch deck problem slide 5
Predina deck, slide 5. Exact stored slide matched to this analysis.

Our analysis: It picks the insurer as the customer and proves the loss with sourced numbers.

Evidence and limitation: Two figures with years and a named source.

What a founder can adapt: If you sell to insurers, show their loss ratio or claim cost trend from an industry body.

Supporting analysis

What the deck claims: "Auto Insurers struggle with profitability." "Total amount of losses for Auto Insurance is increasing": "$132BN (2014)" to "$173BN (2018)". "The average cost of accident claims is increasing": "$171.45 (2008)" to "$207.06 (2016)". Footer: "www.iii.org - Insurance Information Institute".

Presentation choice: Dated, sourced figures are the easiest kind for an investor to check.

When it does not fit: It doesn't yet say why losses rise; one line on the cause would set up the product.

Read the Predina deck teardown

HERO problem slide — slide 2

Drunk-driving prevention funded by insurers and alcohol brands. Four lines on black.

HERO pitch deck problem slide 2
HERO deck, slide 2. Exact stored slide matched to this analysis.

Our analysis: It counts the behaviour, what it costs insurers, and what another payer already spends, then states the gap.

Evidence and limitation: Three figures; no source shown.

What a founder can adapt: Show the cost to your buyer and what they spend today trying to fix it.

Supporting analysis

What the deck claims: "121M times each year customers drive drunk." "$61B lost annually by insurers because of it." "$6.3B spent annually by alcohol companies to reduce those numbers." "No easy way exists to incentivize customers not to drive drunk."

Presentation choice: Naming two groups who already lose or spend money shows who might pay.

When it does not fit: Add sources for the three figures.

Read the HERO deck teardown

Cachet problem slide — slide 5

Insurance for gig-economy drivers. One headline and one supporting line.

Cachet pitch deck problem slide 5
Cachet deck, slide 5. Exact stored slide matched to this analysis.

Our analysis: One customer, one cause (risk assessed wrong) and one consequence (a major cost).

Evidence and limitation: A ranking ("2nd biggest cost"); no source.

What a founder can adapt: Put your cause after "because" in the headline.

Supporting analysis

What the deck claims: "Financial services are not accessible or are unfair to gig workers because insurance companies assess the risks wrong." "Insurance is the 2nd biggest cost for platform workers and majority of them can't get a loan."

Presentation choice: "Because insurance companies assess the risks wrong" is the reason the product exists, stated in one line.

When it does not fit: Say how the risk is assessed wrong, and cut the loan point, which is a different problem.

Read the Cachet deck teardown

Lula problem slide — slide 2

Usage-based insurance for vehicles and fleets. Three icon points and a closing line.

Lula pitch deck problem slide 2
Lula deck, slide 2. Exact stored slide matched to this analysis.

Our analysis: The closing line explains mispricing clearly; the headline and icons are generic.

Evidence and limitation: No figures.

What a founder can adapt: Promote the closing line to the headline.

Supporting analysis

What the deck claims: "Insurance is broken, outdated, and does not meet the needs of today's modern economy." "1. Asset Utilization Rates Change on a Monthly Basis." "2. Everyone has a Different Risk Profile." "3. Emerging markets with no historical solution." "Insurance tends to be priced in a very general sense. Customers pay fixed premiums that are not directly correlated to the asset's utilization rates or the varying risk profiles of the parties using the assets."

Presentation choice: Fixed premiums against changing usage is a problem an investor can picture.

When it does not fit: Small grey type for the most important sentence.

Read the Lula deck teardown

AiCare problem slide — slide 2

Motor insurance in Kenya. Road-safety statistics beside a crash illustration.

AiCare pitch deck problem slide 2
AiCare deck, slide 2. Exact stored slide matched to this analysis.

Our analysis: The risk is well evidenced; the insurance problem (2.4% penetration) is the last line.

Evidence and limitation: Several figures; no sources shown.

What a founder can adapt: Lead with the gap — high risk, low cover — and keep one risk figure.

Supporting analysis

What the deck claims: "Road Accidents - Africa is where Spain was in the 80s!" "Last year, road accidents killed 4,347 people." "Motorcyclists account for 1 in every accident death." "17.3% Increase: Road fatalities are on the rise." "2.4%: Low insurance penetration. Consumers want affordable insurance that reflect usage." Footer: "The mobility landscape in Africa..."

Presentation choice: Pairing high risk with low cover shows the gap in one slide.

When it does not fit: Burying the insurance point beneath road-safety statistics.

Read the AiCare deck teardown

PrecisionEdge (trustininsurance) problem slide — slide 4

Insurance information platform for Nigeria's informal sector. Six bullets.

PrecisionEdge pitch deck problem slide 4
PrecisionEdge deck, slide 4. Exact stored slide matched to this analysis.

Our analysis: Partial: a strong opening figure and customer, followed by five other problems.

Evidence and limitation: One figure (90%); no source.

What a founder can adapt: Keep the first bullet and one reason; move the rest to notes.

Supporting analysis

What the deck claims: "Do you know that 90% of the informal sector have no insurance cover? The awareness among them is not just low but is unaffordable due to their irregular and low income." "The Nigerian market is doubtful of insurance companies." "Most insurance companies largely depend on the traditional agency model for selling insurance." "No viable independent platform in Nigeria where up to date research information about the industry can be sourced." "So many individuals have lapsed policies..."

Presentation choice: "90% of the informal sector have no insurance cover" is a clear, memorable gap.

When it does not fit: Six problems on one slide.

Read the PrecisionEdge (trustininsurance) deck teardown

Beam Dental problem slide — slide 3

Dental insurance. Headline and three lines on blue.

Beam Dental pitch deck problem slide 3
Beam Dental deck, slide 3. Exact stored slide matched to this analysis.

Our analysis: Weak on purpose: three claims, no member or employer named, no example and no number.

Evidence and limitation: No figures.

What a founder can adapt: Pick one claim — "risk is not well understood" — and show what that costs someone.

Supporting analysis

What the deck claims: "Dental Insurance is Broken." "Policies are not serviced cost efficiently." "Risk is not well understood." "The member experience is commoditized."

Presentation choice: Kept as a contrast; compare Predina, which proves its claim with sourced figures.

When it does not fit: Claims an investor can't check.

Read the Beam Dental deck teardown

What each slide covers

Whether each slide says who loses out, why today's cover fails, and gives evidence.

ExampleWho losesWhy cover failsEvidence
FayeYes (both sides)YesNo
PredinaYes (insurers)NoYes (sourced)
HEROYes (insurers)PartlyYes (unsourced)
CachetYes (gig workers)Yes (risk assessed wrong)Partly
LulaPartlyYes (fixed premiums)No
AiCarePartlyPartlyYes (unsourced)
PrecisionEdgeYes (informal sector)PartlyPartly (90%)
Beam DentalNoClaimedNo

Key Takeaways

  • Say whose problem it is: the person buying cover, or the insurer paying claims.
  • The most common insurtech problem is mispriced risk — say who is priced wrong and why.
  • Insurance figures are easy to source (industry bodies, regulators); cite them.
  • "Insurance is broken" is a heading; the slide still needs the reason.
  • If both sides lose, show the link between them, as Faye does.

Build your insurtech problem slide

Whose problem, why today's cover fails them, one sourced figure.

  1. Who. Policyholder, employer, broker or insurer?
  2. Failure. Distrust, mispriced risk, slow claims, no cover at all?
  3. Figure. One number with a year and a source (industry body, regulator, survey).
  4. Today. What do they do now, and what does it cost them?

Copyable framework: [Who] [loses what] because [how today's insurance fails them]. [Figure] ([source, year]). Today they [workaround].

Illustrative example 1 — written by us

Before: Insurance is broken and doesn't meet the needs of the modern economy.

After: Delivery riders pay a fixed monthly premium of about $90 whether they ride 10 hours or 60; most ride under 25 hours a week. (Figures from our survey of 300 riders, 2026.)

What improved: Our illustrative rewrite; the figures are invented for the example. It names the customer, the mispricing and the scale.

What this guide adds

The insurtech go-to-market guide covers how insurance startups reach customers (brokers, embedded partners, direct). This guide covers the slide before it: why today's insurance fails someone. None of the eight slides here appears in another guide.

Insurance problems usually fall into three kinds: the customer doesn't trust or understand the product, the price doesn't match the risk, or the insurer is losing money.

Three things an insurtech problem slide proves

Who loses: "gig workers" (Cachet), "90% of the informal sector" (PrecisionEdge), auto insurers (Predina), travellers and incumbents (Faye).

Why today's cover fails: "insurance companies assess the risks wrong" (Cachet); "Customers pay fixed premiums that are not directly correlated to the asset's utilization rates or the varying risk profiles" (Lula).

Evidence: "$61B lost annually by insurers" (HERO); "2.4%" insurance penetration (AiCare); losses and average claim cost over time with a source line (Predina).

Common mistakes

Diagnostic checklist

  • It says whose problem it is.
  • It says why today's insurance fails them.
  • It gives one figure with a year and source.
  • It says what they do today.
  • It focuses on one problem.

Frequently asked questions

How we chose these examples

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•By Alejandro Cremades